Faculty Profiles - KOEPPEN Mario

Papers - KOEPPEN Mario

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A metaverse assessment model for sustainable transportation using ordinal priority approach and Aczel-Alsina norms Reviewed International journal

Pamucar D., Deveci M., Gokasar I., Tavana M., Köppen M.

Technological Forecasting and Social Change 182 2022.09

Prioritizing transport planning strategies for freight companies towards zero carbon emission using ordinal priority approach Reviewed International journal

Pamucar D., Deveci M., Gokasar I., Martínez L., Köppen M.

Computers and Industrial Engineering 169 2022.07

Implementing a Hand Gesture Recognition System Based on Range-Doppler Map Reviewed International journal

Jhaung Y.C., Lin Y.M., Zha C., Leu J.S., Köppen M.

Sensors 22 ( 11 ) 2022.06

Supporting farming smart documentation system by modular blockchain solutions Reviewed International journal

Arsyad, A. A., Widayat, I. W., & Köppen, M.

Decision Making: Applications in Management and Engineering 5 ( 1 ) 1 - 26 2022.03

SUPPORTING FARMING SMART DOCUMENTATION SYSTEM by MODULAR BLOCKCHAIN SOLUTIONS Reviewed International journal

Arsyad A.A., Widayat I.W., Köppen M.

Decision Making: Applications in Management and Engineering 5 ( 1 ) 1 - 26 2022.01

Personal Mobility in Metaverse With Autonomous Vehicles Using Q-Rung Orthopair Fuzzy Sets Based OPA-RAFSI Model Reviewed International journal

Deveci M., Pamucar D., Gokasar I., Koppen M., Gupta B.B.

IEEE Transactions on Intelligent Transportation Systems 2022.01

Calibration Cost Reduction of Indoor Localization Using Bluetooth Low Energy Beacon Reviewed International journal

As M., Shimizu H., Benaissa B., Yoshida K., Koppen M.

Journal of Advanced Computational Intelligence and Intelligent Informatics 26 ( 1 ) 97 - 106 2022.01

Blockchain Simulation Environment on Multi-image Encryption for Smart Farming Application Reviewed International journal

Widi Widayat I., Köppen M.

Lecture Notes in Networks and Systems 312 316 - 326 2022.01

A Genetic Algorithm for Parallel Unmanned Aerial Vehicle Scheduling: A Cost Minimization Approach Reviewed International journal

Mantau A.J., Widayat I.W., Köppen M.

Lecture Notes in Networks and Systems 312 125 - 135 2022.01

Behavior selection metaheuristic search algorithm for the pollination optimization: A simulation case of cocoa flowers Reviewed

Syafruddin W.A., Paweroi R.M., Köppen M.

Algorithms 14 ( 8 ) 2021.08

A Genetic Algorithm for Parallel Unmanned Aerial Vehicle Scheduling: A Cost Minimization Approach Reviewed

Mantau, A.J., Widayat, I.W., Köppen, M.

Advances in Intelligent Networking and Collaborative Systems. INCoS 2021. Lecture Notes in Networks and Systems 312 2021.08

Blockchain Simulation Environment on Multi-image Encryption for Smart Farming Application Reviewed International journal

Widi Widayat, I., Köppen, M.

Advances in Intelligent Networking and Collaborative Systems. INCoS 2021. Lecture Notes in Networks and Systems 312 2021.08

Behavior Selection Metaheuristic Search Algorithm for the Pollination Optimization: A Simulation Case of Cocoa Flowers Reviewed International journal

Syafruddin, Willa A., Rio M. Paweroi, and Mario Köppen

Algorithms 14 ( 8 ) 230 2021.07

Design and implementation of lora based iot scheme for Indonesian rural area Reviewed

Prakosa S.W., Faisal M., Adhitya Y., Leu J.S., Köppen M., Avian C.

Electronics (Switzerland) 10 ( 1 ) 1 - 12 2021.01

An extended hesitant fuzzy set using SWARA-MULTIMOORA approach to adapt online education for the control of the pandemic spread of COVID-19 in higher education institutions Reviewed

Saraji M.K., Mardani A., Köppen M., Mishra A.R., Rani P.

Artificial Intelligence Review 2021.01

An Empirical Investigation on Evolutionary Algorithm Evolving Developmental Timings Reviewed

Kei Ohnishi, Kouta Hamano and Mario Köppen

International Journal of Electronics ( MDPI ) 9 ( 11 ) 1 - 27 2020.11

Language：English Publishing type：Research paper (scientific journal)

Recently, evolutionary algorithms that can efficiently solve decomposable binary optimization problems have been developed. They are so-called model-based evolutionary algorithms, which build a model for generating solution candidates by applying a machine learning technique to a population. Their central procedure is linkage detection that reveals a problem structure, that is, how the entire problem consists of sub-problems. However, the model-based evolutionary algorithms have been shown to be ineffective for problems that do not have relevant structures or those whose structures are hard to identify. Therefore, evolutionary algorithms that can solve both types of problems quickly, reliably, and accurately are required. The objective of the paper is to investigate whether the evolutionary algorithm evolving developmental timings (EDT) that we previously proposed can be the desired one. The EDT makes some variables values more quickly converge than the remains for any problems, and then, decides values of the remains to obtain a higher fitness value under the fixation of the variables values. In addition, factors to decide which variable values converge more quickly, that is, developmental timings are evolution targets. Simulation results reveal that the EDT has worse performance than the linkage tree genetic algorithm (LTGA), which is one of the state-of-the-art model-based evolutionary algorithms, for decomposable problems and also that the difference in the performance between them becomes smaller for problems with overlaps among linkages and also that the EDT has better performance than the LTGA for problems whose structures are hard to identify. Those results suggest that an appropriate search strategy is different between decomposable problems and those hard to decompose.

DOI： 10.3390/electronics9111866

Feature Extraction for Cocoa Bean Digital Image Classification Prediction for Smart Farming Application Reviewed International journal

Yudhi Adhitya, Setya Widyawan Prakosa, Mario Köppen and Jenq-Shiou Leu

International Journal of Agronomy, ( MDPI ) 10(11) ( 1642 ) 1 - 16 2020.10

Language：English Publishing type：Research paper (scientific journal)

The implementation of Industry 4.0 emphasizes the capability and competitiveness in agriculture application, which is the essential framework of a country’s economy that procures raw materials and resources. Human workers currently employ the traditional assessment method and classification of cocoa beans, which requires a significant amount of time. Advanced agricultural development and procedural operations differ significantly from those of several decades earlier, principally because of technological developments, including sensors, devices, appliances, and information technology. Artificial intelligence, as one of the foremost techniques that revitalized the implementation of Industry 4.0, has extraordinary potential and prospective applications. This study demonstrated a methodology for textural feature analysis on digital images of cocoa beans. The co-occurrence matrix features of the gray level co-occurrence matrix (GLCM) were compared with the convolutional neural network (CNN) method for the feature extraction method. In addition, we applied several classifiers for conclusive assessment and classification to obtain an accuracy performance analysis. Our results showed that using the GLCM texture feature extraction can contribute more reliable results than using CNN feature extraction from the final classification. Our method was implemented through on-site preprocessing within a low-performance computational device. It also helped to foster the use of modern Internet of Things (IoT) technologies among farmers and to increase the security of the food supply chain as a whole.

DOI： 10.3390/agronomy10111642

Smart Watering System Based on Framework of Low-Bandwidth Distributed Applications (LBDA) in Cloud Computing Reviewed International journal

Nurdiansyah Sirimorok, Mansur As, Kaori Yoshida and Mario Köppen

In Proceedings of the 12th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2020). ( Springer, Cham ) 1263 447 - 459 2020.08

Language：English Publishing type：Research paper (international conference proceedings)

Victoria, Canada 2020.08.31 - 2020.09.02

The estimation of soil moisture content is required for agriculture, mainly to build the irrigation scheduling model. In this study, we present a smart watering system to deal with various factors derived from the stochastic information in the agricultural operational, i.e., air temperature, air humidity, soil moisture, soil temperature, and light intensity. The methodology consists of exploiting the Internet of Things (IoT) using Low-Bandwidth Distributed Applications (LBDA) in cloud computing to integrate the real data sets collected by the several sensor technologies. We conducted experiments for the watering system used two types of soil and different plant. Here, the Long Short Term Memory Networks (LSTMs) approach in deep learning techniques used to build smart decisions concerning watering requirements and deal with heterogeneous information coming from agricultural environments. Results show that our models can effectively improve the prediction accuracy for the watering system over various soil and plants.

DOI： 10.1007/978-3-030-57796-4_43

Other Link： https://link.springer.com/chapter/10.1007%2F978-3-030-57796-4_43

Identification and Classification of Sashimi Food Using Multispectral Technology Reviewed International journal

Ismail Parewai, Mansur As, Tsunenori Mine and Mario Köppen

Proceedings of the 2020 2nd Asia Pacific Information Technology Conference ( Association for Computing Machinery (ACM) New York, USA ) 73 - 77 2020.01

Language：English Publishing type：Research paper (international conference proceedings)

Indonesia 2020.01.17 - 2020.01.19

Food quality inspection is an essential factor in our daily lives. Food inspection is analyzing heterogeneous food data from different sources for perception, recognition, judgment, and monitoring. This study aims to provide an accurate system in image processing techniques for the inspection and classification of sashimi food damage based on detecting external data. The external texture was identified based on the visible and invisible system that was acquired using multispectral technology. We proposed the Grey Level Co-occurrence Matrix (GLCM) model for analysis of the texture features of images and the classification process was performed using Artificial Neural Network (ANN) method. This study showed that multispectral technology is a useful system for the assessment of sashimi food and the experimental also indicates that the invisible channels have the potential in the classification model, since the hidden texture features that are not clearly visible to the human eye

DOI： 10.1145/3379310.3379317

Identification and Classification of Sashimi Food Using Multispectral Technology Reviewed International journal

Ismail Parewai, Mansur As, Tsunenori Mine, and Mario Koeppen

Proceedings of the 2020 2nd Asia Pacific Information Technology Conference (APIT 2020) ( Association for Computing Machinery ) 66 - 72 2020.01

Blockchain Scheme Based on Evolutionary Proof of Work Reviewed

Willa Ariela Syafruddin, Sajjad Dadkhah and Mario Köppen

2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings 771 - 776 2019.06

Language：English Publishing type：Research paper (international conference proceedings)

© 2019 IEEE. In recent years, applications of the Blockchain concept, esp. as ledger for bitcoin transactions, has already resulted in huge amounts of wasted electrical energy for performing the Proof-of-Work tasks (cryptographic puzzles). Here, we consider an alternative concept to have this energy used at least for a useful purpose, the solution of real-world optimization problems. By means of the Traveling Salesperson Problem as model problem, we propose a concept to use optimization algorithms in an iterative manner to provide the Proof-of-Work needed to expand the Blockchain by a new block. The basic idea is to improve the tour cost for the best tour found for block n, extended by adding one more city, as a requirement for the inclusion of a new block in the Blockchain. This allows for the design of limited Blockchains, solving the underlying combinatorial optimization problems at the same time. Independently, it calls in for new efficient optimization algorithms and can serve as a real-world contest. It is discussed that metaheuristic algorithms perform an attractive class of optimization algorithms that can be used for the proposed approach. Numerical experiments also demonstrate the growth in problem complexity being handled by a binary PSO, which is a basic requirement for the full concept to work in practice.

DOI： 10.1109/CEC.2019.8790128

Scopus

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85071332795&origin=inward

Updatable indoor localization based on BLE signal fingerprint Reviewed

Benaissa B., Yoshida K., Koppen M., Hendrichovsky F.

Proceedings of the 2018 International Conference on Applied Smart Systems, ICASS 2018 2019.02

Two-Factor Blockchain for Traceability Cacao Supply Chain Invited Reviewed

Arsyad A.A., Dadkhah S., Köppen M.

Lecture Notes on Data Engineering and Communications Technologies 23 332 - 339 2019.01

Crack identification using extended IsoGeometric analysis and particle swarm optimization Invited Reviewed

Khatir S., Wahab M., Benaissa B., Köppen M.

Lecture Notes in Mechanical Engineering 210 - 222 2019.01

Convolutional Neural Network Application in Smart Farming Reviewed

Yudhi Adhitya, Setya Widyawan Prakosa, Mario Köppen and Jenq Shiou Leu

Communications in Computer and Information Science 1100 287 - 297 2019.01

Entropy Analysis of Questionable Text Sources by Example of the Voynich Manuscript Reviewed

Natsuki Kouyama and Mario Köppen

Communications in Computer and Information Science 1100 3 - 13 2019.01

An Efficient Replay Method to Prevent SURF-Based Face Detection Invited Reviewed

Dadkhah S., Koppen M., Sadeghi S., Yoshida K.

Proceedings - 2018 5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018 18 - 25 2018.12

An efficient ward-based copy-move forgery detection method for digital image forensic Reviewed

2017-December 1 - 6 2018.07

Phone Application for Indoor Localization Based on Ble Signal Fingerprint Reviewed

2018-January 1 - 5 2018.03

Bad Ai: Investigating the Effect of Half-Toning Techniques on Unwanted Face Detection Systems Reviewed

Dadkhah S., Köeppen M., Sadeghi S., Yoshida K.

2018 9th IFIP International Conference on New Technologies, Mobility and Security, NTMS 2018 - Proceedings 2018-January 1 - 5 2018.03

Fairness aspects of secondary radio spectrum access Reviewed

Köppen M., Tsuru M.

Lecture Notes on Data Engineering and Communications Technologies 8 445 - 455 2018.01

Does the Jaya algorithm really need no parameters? Invited Reviewed

Syafruddin W.A., Köppen M., Benaissa B.

IJCCI 2018 - Proceedings of the 10th International Joint Conference on Computational Intelligence 264 - 268 2018.01

Activity and Emotion Recognition for Elderly Health Monitoring Reviewed

Brahim Benaissa, Mario Köppen and Kaori Yoshida

International Journal of Affective Engineering ( Japan Society of Kansei Engineering ) 17(2) 81 - 88 2017.11

Language：English Publishing type：Research paper (scientific journal)

The problems facing elderly who are living independently, are considered to be one of the most important motivations of the activity recognition research. The advances in sensing technologies allow collecting several types of data and communicate it wirelessly. However, most existing activity recognition systems requires pre-calculated pattern recognition models. This paper lays the theoretical foundations of a real-time methodology for activity and emotional recognition based on body and environment sensors simultaneously, then tackles one aspect of the method which is the path estimation using chest-mounted IMU sensor, for which a zero velocity update criteria is proposed. Finally path estimation results for sitting down, laying down, falling down and standing up are discussed.

DOI： 10.5057/ijae.IJAE-D-17-00020

Application of proper orthogonal decomposition and radial basis functions for crack size estimation using particle swarm optimization Reviewed

842 ( 1 ) 2017.06

Detecting malicious URLs using machine learning techniques Reviewed

2017.02

Electromagnetismlike mechanism descriptor with fourier transform for a passive copy-move forgery detection in digital image forensics Reviewed

2017-January 612 - 619 2017.01

Non-swarm intelligence search algorithm based on the foraging behaviors of fruit flies Reviewed

1509 - 1516 2016.11

Applied Soft Computing: Preface Invited Reviewed

Polat K., Asyali M., Muthusamy H., Rajendra Acharya U., Köppen M.

Applied Soft Computing Journal 37 939 - 941 2015.12

Neural Signature of Efficiency Relations Reviewed

Basterrech, Sebastian and Ohnishi, Kei and Koppen, Mario

Systems, Man, and Cybernetics (SMC), 2015 IEEE International Conference on 2090 - 2095 2015.10

Message from the ADMNET 2015 Workshop Organizers Reviewed

Nariyoshi Yamai, Mario Köppen and Youngseok Lee

Published in: 2015 IEEE 39th Annual Computer Software and Applications Conference ( IEEE ) 3 2015.09

Authorship：Corresponding author Language：English Publishing type：Research paper (international conference proceedings)

Taichung, Taiwan 2015.07.01 - 2015.07.05

The ADMNET workshop series is focusing on the discussion of the advance of the state-of-the-art, research and development in the area of architecture, design, deployment and management of networks and Internet-based applications. This workshop is also a forum for designers, developers and administrators of the networks and applications. ADMNET covers a wide field of topics such as Network Architecture and Design, QoS, Scalability Solutions, Fairness, Optimality, and other aspects of Network Resource Sharing, Network Deployment, Management and Operation, Network Security, Network Applications and their Operation, Meta-Heuristics and Soft Computing Approaches for Networking Technologies, Network Metrics, Network Growth and Percolation Models, Modeling of Users and Network-Based Services, Digital Convergence, ITIL, User Policy and Service Level Agreements, Computer Ethics and Education.

DOI： 10.1109/COMPSAC.2015.294

Scopus

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84962079693&origin=inward

Mutation-based receiver search in a network for temporary information sharing Reviewed

1535 - 1542 2015.09

Zonal fairness in wireless infrastructure Reviewed

Köppen, Mario and Tsuru, Masato

New Technologies, Mobility and Security (NTMS), 2015 7th International Conference on 2015.07

Morphogenetic and evolutionary approach to similar image creation Reviewed

316 331 - 340 2015.01

Ensemble relations for resource allocation tasks Reviewed

Köppen, Mario and Ohnishi, Kei and Tsuru, Masato

Intelligent Systems Design and Applications (ISDA), 2014 14th International Conference on 129 - 133 2014.11

A Fairness Relation Based on the Asymmetric Choquet Integral and Its Application in Network Resource Allocation Problems Reviewed

Aoi Honda and Mario Köppen

Journal of Applied Mathematics 2014.07

Evolution Of Developmental Timing For Solving Hierarchically Dependent Deceptive Problems Reviewed

8886 58 - 69 2014.01

Significance Relations for the Benchmarking of Meta-Heuristic Algorithms Reviewed

Mario Koeppen, Kei Ohnishi and Masato Tsuru

2013 Intl. Conference on Intelligent Systems Design and Applications (ISDA 2013) 2013.12

Multi-Jain Fairness Index of Per-Entity Allocation Features for Fair and Efficient Allocation of Network Resources Reviewed

Mario Koeppen, Kei Ohnishi and Masato Tsuru

5th International Conference on Intelligent Networking and Collaborative Systems (INCoS 2013) 2013.09

Parallel Evolutionary P2P Networking Technique Evaluating Network Topologies Sequentially Reviewed

Kei Ohnishi and Mario Köppen

COMPSAC 2013 2013.07

Knaster Procedure for Proportional Fair Wireless Channel Allocation Reviewed

Mario Koeppn, Kei Ohnishi

2013 IEEE 37th Annual Computer Software and Applications Conference Workshops (COMPSAC 2013) 2013.07

Relational optimization and its application: From bottleneck flow control to wireless channel allocation Reviewed

24 ( 3 ) 413 - 433 2013.01

Fairness-based parameter selection in multi-modal biometric authentication Reviewed

979 - 985 2012.12

Meta-heuristic approach to proportional fairness Reviewed

5 ( 4 ) 231 - 244 2012.11

Evolutionary linkage creation between information sources in P2P networks Reviewed

5 ( 4 ) 245 - 259 2012.11

Genetic Clustering Based on Segregation Distortion Caused by Selfish Genes Reviewed

2012.09

A Benchmark for Evaluating Approximated Algorithms for Fair Wireless Channel Allocation Reviewed

2012.09

A Relational Approach to Collaborative Fairness Reviewed

2012.09

MASP - A Multi-Attribute Secretary Problem Approach to Multi-Objective Optimization with Fair Decision Maker Reviewed

2012.08

Fuzzification of maxmin fairness relation based on subvector dominance degree Reviewed

344 - 349 2010.12

Interactive genetic algorithm for font generation system Reviewed

2010.12

Fuzzification of Maxmin Fairness Relation based on Subvector Dominance Degree Reviewed

Mario Koppen,Kaori Yoshida and Masato Tsuru

Proc. of 2nd International Conference on Intelligent Networking and Collaborative Systems (INCoS2010) 2010.11

Comparison of Evolutionary Multi-Objective Optimization Algorithms for the Utilization of Fairness in Network Control Reviewed

Mario Koppen,Rodrigo Verschae,Kaori Yoshida and Masato Tsuru

2010 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2010) 2010.10

Partial user-supplied information and user modeling for improving QoS Reviewed

Rodrigo Verschae,Mario Koppen and Kaori Yoshida

Simulation Modelling Practice and Theory 19 ( 1 ) 47 - 55 2010.04

Gestalt Aspects of Security Pattern Reviewed

Computational Forensics: 4th International Workshop, IWCF 2010 2010.04

Evolutionary Routing-Path Selection in Congested Communication Networks Reviewed

Mario Koeppen,Kaori Yoshida,Masato Tsuru,Yuji Oie

Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics 2224 - 2229 2009.10

Differential Evolution with Polymorphic Schemes Reviewed

Christian Veenhuis,Mario Koeppen

Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics 1814 - 1819 2009.10

Fairness-based Global Optimization of User-Centric Networks Reviewed

Mario Koeppen,Kaori Yoshida,Masato Tsuru,Yuji Oie

2009 International Conference on Networked Computing 441 - 443 2009.08

Archiving Strategies for On-line Decision Making in Evolutionary Multi-Objective Optimization Reviewed

Mario Koeppen,Kaori Yoshida,Masato Tsuru,Yuji Oie

Hybrid Intelligent Systems, 8th International Conference 465 - 470 2008.09

Evolutionary Approach to Maxmin-Fair Network-Resource Allocation Reviewed

Mario Koeppen,Masato Tsuru,Yuji Oie

Applications and the Internet, IEEE/IPSJ International Symposium 253 - 256 2008.08

User Modeling by Confabulation Theory Reviewed

Mario Koeppen and Kaori Yoshida

2008 IEEE Conference on Soft Computing in Industrial Applications 55 - 59 2008.06

Auxiliary Objectives for the Evolutionary Multi-Objective Principal Color Extraction from Logo Images Reviewed

Mario Koeppen,Yutaka Kinoshita and Kaori Yoshida

2008 IEEE Congress on Evolutionary Computation (CEC08) 3536 - 3542 2008.06

Image Enhancement through Intelligent Localized Fusion Operators in the Automated Visual Inspection of Highly Reflective Surfaces Reviewed

Aureli Soria-Frisch and Mario Koeppen

Information Fusion 9 ( 2 ) 142 - 155 2008.04

Pattern Formation in Networks Inspired by Biological Development Reviewed

Ohnishi,Kei,Yoshida,Kaori and Koeppen,Mario

Arts and Technology 64 - 71 2008.04

Heuristic Maxmin Fairness for the Wireless Channel Allocation Problem Reviewed

Mario Koppen,Rodrigo Verschae,Kaori Yoshida,Masato Tsuru

International Conference on Broadband, Wireless Computing, Communication and Applications 606 - 611 2008.04

Interactive Genetic Algorithm for Font Generation System Reviewed

Kaori Yoshida,Yuta Nakagawa and Mario Koppen

Proc. World Automation Congress (WAC2010) 2008.04

Evolutionary Multi-Objective Optimization of Particle Swarm Optimizers. Reviewed

Christian Veenhuis,Mario Köppen and Raul Vicente Garcia

2007 IEEE Congress on Evolutionary Computation 2273 - 2280 2007.09

Visualization of Pareto-Sets in Evolutionary Multi-Objective Optimization Reviewed

Mario Koeppen and Kaori Yoshida

Seventh International Conference on Hybrid Intelligent Systems (HIS'07) 156 - 161 2007.09

Pareto-dominated Hypervolume Measure: An Alternative Approach to Color Morphology Reviewed

Mario Koeppen and Katrin Franke

Seventh International Conference on Hybrid Intelligent Systems (HIS'07) 234 - 239 2007.09

Perception of image similarity considering Gestalt theory Reviewed

Yutaka Kinoshita,Mario Koeppen,Kaori Yoshida

International Conference of Soft Computing and Human Sciences 2007 2007.08

Gestalt Theory in Image Processing: A discussion paper Reviewed

Mario Koeppen,Kaori Yoshida

2007 IEEE Three-Rivers Workshop on Soft Computing in Industrial Applications (SMCia/07) 157 - 161 2007.08

Many-Objective Particle Swarm Optimization by Gradual Leader Selection Reviewed

Mario Koeppen,Kaori Yoshida

Proceedings of Intl. Conference on Adaptive and Natural Computing Algorithms (ICANNGA07) 323 - 331 2007.04

A framework for the adaptation of image operators Reviewed

Mario Köppen and Raul Vicente-Garcia

Genetic and Evolutionary Computation for Image Processing and Analysis 215 - 239 2007.04

Substitute Distance Assignments in NSGA-II for Handling Many-Objective Optimization Problems Reviewed

Mario Koeppen and Kaori Yoshida

Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007 727 - 741 2007.03

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Papers - KOEPPEN Mario