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Masaharu Munetomo
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2020 – today
- 2024
- [j24]Rui Zhong, Binnan Tu, Enzhi Zhang, Masaharu Munetomo:
Cooperative coevolutionary differential evolution with adjacent intensity matrix with linkage identification for large-scale optimization problems in noisy environments. Evol. Intell. 17(5): 3483-3503 (2024) - [j23]Enzhi Zhang
, Mohamed Wahib, Rui Zhong
Learning from the Past Training Trajectories: Regularization by Validation. J. Adv. Comput. Intell. Intell. Informatics 28(1): 67-78 (2024) - [j22]Rui Zhong
SRIME: a strengthened RIME with Latin hypercube sampling and embedded distance-based selection for engineering optimization problems. Neural Comput. Appl. 36(12): 6721-6740 (2024) - [j21]Rui Zhong
Evolutionary multi-mode slime mold optimization: a hyper-heuristic algorithm inspired by slime mold foraging behaviors. J. Supercomput. 80(9): 12186-12217 (2024) - [j20]Enzhi Zhang, Bochen Dong, Mohamed Wahib, Rui Zhong
Meta generative image and text data augmentation optimization. J. Supercomput. 80(9): 12644-12662 (2024) - [c82]Enzhi Zhang, Rui Zhong, Masaharu Munetomo, Mohamed Wahib:
Validation Loss Landscape Exploration with Deep Q-Learning. IJCNN 2024: 1-9 - [c81]Rui Zhong, Yang Cao, Jun Yu, Masaharu Munetomo:
Hierarchical Adaptive Differential Evolution with Local Search for Extreme Learning Machine. ICSI (1) 2024: 235-246 - [i9]Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao Wang, Jun Igarashi, Yuankai Huo, Mohamed Wahib, Masaharu Munetomo:
Adaptive Patching for High-resolution Image Segmentation with Transformers. CoRR abs/2404.09707 (2024) - [i8]Rui Zhong, Yang Cao, Jun Yu, Masaharu Munetomo:
Large Language Model Assisted Adversarial Robustness Neural Architecture Search. CoRR abs/2406.05433 (2024) - [i7]Rui Zhong, Yang Cao, Enzhi Zhang, Masaharu Munetomo:
Introducing Competitive Mechanism to Differential Evolution for Numerical Optimization. CoRR abs/2406.05436 (2024) - 2023
- [j19]Daichi Morimoto
An evolutionary robotics approach to a multi-legged robotic swarm in a rough terrain environment. Artif. Life Robotics 28(4): 661-668 (2023) - [j18]Rui Zhong
Surrogate Ensemble-Assisted Hyper-Heuristic Algorithm for Expensive Optimization Problems. Int. J. Comput. Intell. Syst. 16(1): 169 (2023) - [c80]Rui Zhong
Adjacent Intensity Matrix with Linkage Identification for Large-Scale Optimization in Noisy Environments. CEC 2023: 1-10 - [c79]Rui Zhong
Cooperative Coevolutionary NSGA-II with Linkage Measurement Minimization for Large-Scale Multi-objective Optimization. EMO 2023: 43-55 - [c78]Rui Zhong
A Hierarchical Cooperative Coevolutionary Approach to Solve Very Large-Scale Traveling Salesman Problem. OLA 2023: 74-84 - [c77]Enzhi Zhang, Ruqin Wang, Mohamed Wahib, Rui Zhong, Masaharu Munetomo:
Training Knowledge Inheritance Through Deep Q-Net. SMC 2023: 899-904 - 2022
- [j17]Daichi Morimoto
Evolving collective step-climbing behavior in multi-legged robotic swarm. Artif. Life Robotics 27(2): 333-340 (2022) - [j16]Daichi Morimoto
Generating collective behavior of a multi-legged robotic swarm using an evolutionary robotics approach. Artif. Life Robotics 27(4): 751-760 (2022) - [j15]Katsunori Miura, Courtney Powell, Masaharu Munetomo:
Optimal answer generation by equivalent transformation incorporating multi-objective genetic algorithm. Soft Comput. 26(19): 10535-10546 (2022) - [c76]Daichi Morimoto
Generating and Analyzing Collective Step-Climbing Behavior in a Multi-legged Robotic Swarm. ANTS Conference 2022: 324-331 - [c75]Courtney Powell, Katsunori Miura, Masaharu Munetomo:
Many-Constraint and Many-Objective optimization with Bias Index for Intercloud Multi-Workflow Resource Provisioning. SCIS/ISIS 2022: 1-8 - [c74]Enzhi Zhang, Mohamed Wahib, Masaharu Munetomo:
Learning from the Past: Regularization by Validation. SCIS/ISIS 2022: 1-8 - [i6]Rui Zhong, Masaharu Munetomo:
Cooperative coevolutionary hybrid NSGA-II with Linkage Measurement Minimization for Large-scale Multi-objective optimization. CoRR abs/2208.13415 (2022) - [i5]Rui Zhong, Masaharu Munetomo:
Accelerating differential evolution algorithm with Gaussian sampling based on estimating the convergence points. CoRR abs/2208.14619 (2022) - [i4]Rui Zhong, Masaharu Munetomo:
Cooperative coevolutionary Modified Differential Evolution with Distance-based Selection for Large-Scale Optimization Problems in noisy environments through an automatic Random Grouping. CoRR abs/2209.00777 (2022) - [i3]Rui Zhong, Enzhi Zhang, Masaharu Munetomo:
Accelerating the Genetic Algorithm for Large-scale Traveling Salesman Problems by Cooperative Coevolutionary Pointer Network with Reinforcement Learning. CoRR abs/2209.13077 (2022) - [i2]Rui Zhong, Enzhi Zhang, Masaharu Munetomo:
Accelerating the Evolutionary Algorithms by Gaussian Process Regression with ε-greedy acquisition function. CoRR abs/2210.06814 (2022) - 2021
- [j14]Martin Schlueter, Mehdi Neshat
GTOPX space mission benchmarks. SoftwareX 14: 100666 (2021) - 2020
- [c73]Tadahiko Murata, Susumu Date
Distribution System for Japanese Synthetic Population Data with Protection Level. ICMLC 2020: 187-193 - [i1]Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner:
GTOPX Space Mission Benchmarks. CoRR abs/2010.07517 (2020)
2010 – 2019
- 2019
- [j13]Luca Faramondi
Network Structural Vulnerability: A Multiobjective Attacker Perspective. IEEE Trans. Syst. Man Cybern. Syst. 49(10): 2036-2049 (2019) - [c72]Martin Schlueter, Masaharu Munetomo:
A Mixed-Integer Extension for ESA's Cassini1 Space Mission Benchmark. CEC 2019: 912-919 - [c71]Courtney Powell, Katsunori Miura, Masaharu Munetomo:
Constrained Multi-objective Optimization Method for Practical Scientific Workflow Resource Selection. EMO 2019: 683-694 - [c70]Tadayuki Yoshida, Ekawit Nantajeewarawat, Masaharu Munetomo, Kiyoshi Akama:
Inventing ET Rules to Improve an MI Solver on KR-logic. KEOD 2019: 274-281 - [c69]Tadayuki Yoshida, Ekawit Nantajeewarawat, Masaharu Munetomo, Kiyoshi Akama:
Logical Approach to Theorem Proving with Term Rewriting on KR-logic. KEOD 2019: 282-289 - [c68]Tadahiko Murata, Takuya Harada, Manabu Ichika Wa
Distribution of Synthetic Populations of Japan for Social Scientists and Social Simulation Researchers. ICMLC 2019: 1-5 - 2018
- [c67]Courtney Powell, Katsunori Miura, Masaharu Munetomo:
Optimal Cloud Resource Selection Method Considering Hard and Soft Constraints and Multiple Conflicting Objectives. IEEE CLOUD 2018: 831-835 - [c66]Katsunori Miura, Courtney Powell, Masaharu Munetomo:
Optimal and Feasible Cloud Resource Configurations Generation Method for Genomic Analytics Applications. CloudCom 2018: 137-144 - [c65]Masaki Fujiwara, Masaharu Munetomo:
A surrogate-assisted selection scheme for genetic algorithms employing multi-layer neural networks. GECCO (Companion) 2018: 41-42 - [c64]Kousuke Izumiya, Masaharu Munetomo:
Introducing a linkage identification considering non-monotonicity to multi-objective evolutionary optimization with decomposition for real-valued functions. GECCO (Companion) 2018: 179-180 - [c63]Courtney Powell, Katsunori Miura, Masaharu Munetomo:
Towards a small diverse pareto-optimal solutions set generator for multiobjective optimization problems. GECCO (Companion) 2018: 298-299 - [c62]Martin Schlueter, Masaharu Munetomo:
Massively parallelized co-evaluation for many-objective space trajectory optimization. GECCO (Companion) 2018: 306-307 - 2017
- [j12]Martin Schlueter, Masaharu Munetomo:
MIDACO Parallelization Scalability on 200 MINLP Benchmarks. J. Artif. Intell. Soft Comput. Res. 7(3): 171 (2017) - [j11]Phyo Thandar Thant
Multiobjective Level-Wise Scientific Workflow Optimization in IaaS Public Cloud Environment. Sci. Program. 2017: 5342727:1-5342727:17 (2017) - [c61]Phyo Thandar Thant, Courtney Powell, Martin Schlueter, Masaharu Munetomo:
A Level-Wise Load Balanced Scientific Workflow Execution Optimization using NSGA-II. CCGrid 2017: 882-889 - [c60]Kousuke Izumiya, Masaharu Munetomo:
Multi-objective Evolutionary optimization based on Decomposition with Linkage Identification considering monotonicity. CEC 2017: 905-912 - [c59]Martin Schlueter, Mohamed Wahib, Masaharu Munetomo:
Numerical Optimization of ESA's Messenger Space Mission Benchmark. EvoApplications (1) 2017: 725-737 - 2016
- [c58]Katsunori Miura, Tazro Ohta
Intercloud brokerages based on PLS method for deploying infrastructures for big data analytics. IEEE BigData 2016: 2097-2102 - [c57]Martin Schlueter, Masaharu Munetomo:
Numerical assessment of the parallelization scalability on 200 MINLP benchmarks. CEC 2016: 830-837 - [c56]Takahito Seyama, Masaharu Munetomo:
Development of a multi-player interactive genetic algorithm-based 3D modeling system for glasses. CEC 2016: 846-852 - [c55]Katsunori Miura, Masaharu Munetomo:
A Predicate Logic-Defined Specification Method for Systems Deployed by Intercloud Brokerages. IC2E Workshops 2016: 172-177 - [c54]Courtney Powell, Phyo Thandar Thant, Masaharu Munetomo:
Evaluation of Three Steady-State NSGA-III Offspring Selection Schemes for Many-Objective Optimization. SCIS&ISIS 2016: 166-171 - [c53]Phyo Thandar Thant, Courtney Powell, Akiyoshi Sugiki, Masaharu Munetomo:
Multi-objective Hadoop Configuration Optimization Using Steady-State NSGA-II. SCIS&ISIS 2016: 293-298 - 2015
- [c52]Masataka Mizukoshi, Masaharu Munetomo:
Distributed denial of services attack protection system with genetic algorithms on Hadoop cluster computing framework. CEC 2015: 1575-1580 - 2014
- [c51]Martin Schlueter, Masaharu Munetomo:
Parallelization for space trajectory optimization. IEEE Congress on Evolutionary Computation 2014: 832-839 - [c50]Courtney Powell, Takashi Aizawa, Masaharu Munetomo:
Design of an SSO authentication infrastructure for heterogeneous inter-cloud environments. CloudNet 2014: 102-107 - [c49]Ryosuke Hasebe, Rina Kouda, Kei Ohnishi, Masaharu Munetomo:
Human-based genetic algorithm for facilitating practical use of data in the internet. SCIS&ISIS 2014: 1327-1332 - 2013
- [j10]Omar Arif Abdul-Rahman
An adaptive parameter binary-real coded genetic algorithm for constraint optimization problems: Performance analysis and estimation of optimal control parameters. Inf. Sci. 233: 54-86 (2013) - [c48]Masaharu Munetomo, Shintaro Bando:
A scalable infrastructure of interactive evolutionary computation to evolve services online with data. IEEE BigData 2013: 28 - [c47]Courtney Powell, Masaharu Munetomo, Martin Schlueter, Masataka Mizukoshi:
Towards Thought Control of Next-Generation Wearable Computing Devices. Brain and Health Informatics 2013: 427-438 - [c46]Martin Schlueter, Masaharu Munetomo:
Parallelization strategies for evolutionary algorithms for MINLP. IEEE Congress on Evolutionary Computation 2013: 635-641 - [c45]Courtney Powell, Masaharu Munetomo, Attia Wahib, Takashi Aizawa:
Constructing a Robust Services-Oriented Inter-cloud Portal Based on an Autonomic Model and FOSS. UCC 2013: 458-463 - [p5]Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama:
arGA: Adaptive Resolution Micro-genetic Algorithm with Tabu Search to Solve MINLP Problems Using GPU. Massively Parallel Evolutionary Computation on GPGPUs 2013: 83-104 - 2012
- [c44]Omar Abdul-Rahman
Toward a Genetic Algorithm Based Flexible Approach for the Management of Virtualized Application Environments in Cloud Platforms. ICCCN 2012: 1-9 - 2011
- [j9]Omar Arif Abdul-Rahman
An adaptive resolution hybrid binary-real coded genetic algorithm. Artif. Life Robotics 16(1): 121-124 (2011) - [c43]Omar Abdul-Rahman
Multi-Level Autonomic Architecture for the Management of Virtualized Application Environments in Cloud Platforms. IEEE CLOUD 2011: 754-755 - [c42]Masaharu Munetomo:
Realizing robust and scalable evolutionary algorithms toward exascale era. IEEE Congress on Evolutionary Computation 2011: 312-317 - [c41]Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama:
Advanced genetic algorithm to solve MINLP problems over GPU. IEEE Congress on Evolutionary Computation 2011: 318-325 - [c40]Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
Optimization of parallel Genetic Algorithms for nVidia GPUs. IEEE Congress on Evolutionary Computation 2011: 803-811 - [c39]Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama:
Solving Extremely Difficult MINLP Problems Using Adaptive Resolution Micro-GA with Tabu Search. LION 2011: 203-217 - [c38]Omar Abdul-Rahman
An improved binary-real coded genetic algorithm for real parameter optimization. NaBIC 2011: 149-156 - [c37]Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
A Framework for Cloud Embedded Web Services Utilized by Cloud Applications. SERVICES 2011: 265-271 - 2010
- [j8]Masafumi Kuroda, Kunihito Yamamori, Masaharu Munetomo, Moritoshi Yasunaga, Ikuo Yoshihara:
Development of a novel crossover of hybrid genetic algorithms for large-scale traveling salesman problems. Artif. Life Robotics 15(4): 547-550 (2010) - [j7]Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama:
The design, usage, and performance of GridUFO: A Grid based Unified Framework for Optimization. Future Gener. Comput. Syst. 26(4): 633-644 (2010) - [c36]Masafumi Kuroda, Kunihito Yamamori, Masaharu Munetomo, Moritoshi Yasunaga, Ikuo Yoshihara:
A proposal for Zoning Crossover of Hybrid Genetic Algorithms for large-scale traveling salesman problems. IEEE Congress on Evolutionary Computation 2010: 1-6 - [c35]Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
A Bayesian Optimization Algorithm for De Novo ligand design based docking running over GPU. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c34]Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
A Light Framework for the Unified Representation and Execution of Variant Tasks in a Grid Based Environment. PDPTA 2010: 658-664
2000 – 2009
- 2009
- [j6]Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama:
Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework. Genet. Program. Evolvable Mach. 10(4): 391-415 (2009) - [c33]Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama:
Theoretical and Empirical Analysis of a GPU Based Parallel Bayesian Optimization Algorithm. PDCAT 2009: 457-462 - 2008
- [j5]Masaharu Munetomo, Naoya Murao, Kiyoshi Akama:
Introducing assignment functions to Bayesian optimization algorithms. Inf. Sci. 178(1): 152-163 (2008) - [c32]Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
A General Service-Oriented Grid Computing Framework for Global Optimization Problem Solving. IEEE SCC (2) 2008: 563-566 - [c31]Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama:
Empirical investigations on parallel competent genetic algorithms. GECCO 2008: 1073-1080 - [c30]Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
Model for dynamic grain sizing through compound parallelization for an optimization problem solving grid application. GRID 2008: 316-321 - [c29]Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
SOAG: Service Oriented Architectured Grids and adoption of application specific QoS attributes. GRID 2008: 346-351 - [c28]Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama:
Solving Large Instances of Capacitated Vehicle Routing Problem over Cell BE. HPCC 2008: 131-138 - [c27]Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama:
A Survey: Genetic Algorithms and the Fast Evolving World of Parallel Computing. HPCC 2008: 897-902 - [p4]Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama:
Parallel GEAs with Linkage Analysis over Grid. Linkage in Evolutionary Computation 2008: 159-187 - [p3]Miwako Tsuji, Masaharu Munetomo:
Linkage Analysis in Genetic Algorithms. Computational Intelligence Paradigms 2008: 251-279 - [p2]Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama:
A Network Design Problem by a GA with Linkage Identification and Recombination for Overlapping Building Blocks. Linkage in Evolutionary Computation 2008: 441-459 - 2007
- [c26]Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama:
A network design problem by a GA with linkage identification and recombination for overlapping building blocks. IEEE Congress on Evolutionary Computation 2007: 349-356 - [c25]Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
Optimization problem solving framework employing GAs with linkage identification over a grid environment. IEEE Congress on Evolutionary Computation 2007: 1191-1198 - [c24]Masaharu Munetomo, Yuta Satake, Kiyoshi Akama:
An Intelligent Scatter with Estimation of Distribution for Tabu Search. EUROCAST 2007: 465-472 - [c23]Masaharu Munetomo, Asim Munawar, Kiyoshi Akama:
A Framework of GRID Problem-Solving Environment Employing Robust Evolutionary Search. EUROCAST 2007: 473-480 - [c22]Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
MHGrid: Towards an Ideal Optimization Environment for Global Optimization Problems Using Grid Computing. PDCAT 2007: 167-168 - [p1]Masaru Tezuka, Masaharu Munetomo, Kiyoshi Akama:
Genetic Algorithm to Optimize Fitness Function with Sampling Error and its Application to Financial Optimization Problem. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 417-434 - 2006
- [j4]Miwako Tsuji
Linkage Identification by Fitness Difference Clustering. Evol. Comput. 14(4): 383-409 (2006) - [c21]Masaru Tezuka, Masaharu Munetomo, Kiyoshi Akama, Masahiro Hiji:
Genetic Algorithm to Optimize Fitness Function with Sampling Error and its Application to Financial Optimization Problem. IEEE Congress on Evolutionary Computation 2006: 81-87 - [c20]Miwako Tsuji
A crossover for complex building blocks overlapping. GECCO 2006: 1337-1344 - [c19]Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama:
Theoretical and Empirical Investigations on Difficulty in Structure Learning by Estimation of Distribution Algorithms. SMC 2006: 209-214 - [c18]Masaharu Munetomo, Yuta Satake, Kiyoshi Akama:
Enhancing Model-building Efficiency in Extended Compact Genetic Algorithms. SMC 2006: 2362-2367 - 2005
- [c17]Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama:
Linkage identification for real-valued loci by fitness difference classification. Congress on Evolutionary Computation 2005: 1317-1324 - [c16]Masaharu Munetomo, Naoya Murao, Kiyoshi Akama:
Empirical studies on parallel network construction of Bayesian optimization algorithms. Congress on Evolutionary Computation 2005: 1524-1531 - [c15]Miwako Tsuji
Population Sizing of Dependency Detection by Fitness Difference Classification. FOGA 2005: 282-299 - 2004
- [j3]Hidehiro Kobayashi, Masaharu Munetomo, Kiyoshi Akama, Yoshiharu Sato:
Designing a distributed algorithm for bandwidth allocation with a genetic algorithm. Syst. Comput. Jpn. 35(3): 37-45 (2004) - [c14]Masaru Tezuka, Masaharu Munetomo, Kiyoshi Akama:
Linkage Identification by Nonlinearity Check for Real-Coded Genetic Algorithms. GECCO (2) 2004: 222-233 - [c13]Miwako Tsuji
Modeling Dependencies of Loci with String Classification According to Fitness Differences. GECCO (2) 2004: 246-257 - [c12]Masaharu Munetomo, Naoya Murao, Kiyoshi Akama:
Empirical Investigations on Parallelized Linkage Identification. PPSN 2004: 322-331 - 2003
- [c11]Masaharu Munetomo, Naoya Murao, Kiyoshi Akama:
A Parallel Genetic Algorithm Based on Linkage Identification. GECCO 2003: 1222-1233 - [c10]Miwako Tsuji
Metropolitan Area Network Design Using GA Based on Hierarchical Linkage Identification. GECCO 2003: 1616-1617 - 2002
- [c9]Masaharu Munetomo:
Linkage identification based on epistasis measures to realize efficient genetic algorithms. IEEE Congress on Evolutionary Computation 2002: 1332-1337 - [c8]Yuichi Yamamoto, Kiyoshi Akama, Masaharu Munetomo, Takahiko Ishikawa:
A Foundation for Algorithm Generation by Transforming Meta-Descriptions. FSKD 2002: 712- - 2001
- [c7]Masaharu Munetomo, Naohiko Yamaguchi, Kiyoshi Akama, Yoshiharu Sato:
Empirical investigations on the genetic adaptive routing algorithm in the Internet. CEC 2001: 1236-1243
1990 – 1999
- 1999
- [j2]Masaharu Munetomo, David E. Goldberg:
Linkage Identification by Non-monotonicity Detection for Overlapping Functions. Evol. Comput. 7(4): 377-398 (1999) - 1998
- [c6]Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato:
A migration scheme for the genetic adaptive routing algorithm. SMC 1998: 2774-2779 - 1997
- [c5]Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato:
An Adaptive Network Routing Algorithm Employing Path Genetic Operators. ICGA 1997: 643-649 - [c4]Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato:
An Intelligent Network Routing Algorithm by a Genetic Algorithm. ICONIP (1) 1997: 547-550 - 1996
- [j1]Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato:
StGA: An application of a genetic algorithm to stochastic learning automata. Syst. Comput. Jpn. 27(10): 68-78 (1996) - [c3]Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato:
Genetic-Based Dynamic Load Balancing: Implementation and Evaluation. PPSN 1996: 920-929 - 1994
- [c2]Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato:
A Genetic Approach to Dynamic Load Balancing in a Distributed Computing System. International Conference on Evolutionary Computation 1994: 419-421 - 1993
- [c1]Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato:
An Efficient Migration Scheme for Subpopulation-Based Asynchronously Parallel Genetic Algorithms. ICGA 1993: 649
Coauthor Index
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