Masaharu Munetomo

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 51

Top Venues

Publications

Enzhi Zhang, Mohamed Wahib, Rui Zhong, Masaharu Munetomo
Learning from the Past Training Trajectories: Regularization by Validation. J. Adv. Comput. Intell. Intell. Informatics 28 (1) (2024)
Rui Zhong, Enzhi Zhang, Masaharu Munetomo
Evolutionary multi-mode slime mold optimization: a hyper-heuristic algorithm inspired by slime mold foraging behaviors. J. Supercomput. 80 (9) (2024)
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 (2024)
Rui Zhong, Jun Yu, Chao Zhang, Masaharu Munetomo
SRIME: a strengthened RIME with Latin hypercube sampling and embedded distance-based selection for engineering optimization problems. Neural Comput. Appl. 36 (12) (2024)
Enzhi Zhang, Bochen Dong, Mohamed Wahib, Rui Zhong, Masaharu Munetomo
Meta generative image and text data augmentation optimization. J. Supercomput. 80 (9) (2024)
Rui Zhong, Yang Cao, Enzhi Zhang, Masaharu Munetomo
Introducing Competitive Mechanism to Differential Evolution for Numerical Optimization. CoRR (2024)
Rui Zhong, Yang Cao, Jun Yu, Masaharu Munetomo
Large Language Model Assisted Adversarial Robustness Neural Architecture Search. CoRR (2024)
Rui Zhong, Yang Cao, Jun Yu, Masaharu Munetomo
Hierarchical Adaptive Differential Evolution with Local Search for Extreme Learning Machine. ICSI (1) (2024)
Daichi Morimoto, Haruhi Tsukamoto, Motoaki Hiraga, Kazuhiro Ohkura, Masaharu Munetomo
An evolutionary robotics approach to a multi-legged robotic swarm in a rough terrain environment. Artif. Life Robotics 28 (4) (2023)
Rui Zhong, Binan Tu, Enzhi Zhang, Masaharu Munetomo
Adjacent Intensity Matrix with Linkage Identification for Large-Scale Optimization in Noisy Environments. CEC (2023)
Enzhi Zhang, Ruqin Wang, Mohamed Wahib, Rui Zhong, Masaharu Munetomo
Training Knowledge Inheritance Through Deep Q-Net. SMC (2023)
Rui Zhong, Masaharu Munetomo
Cooperative Coevolutionary NSGA-II with Linkage Measurement Minimization for Large-Scale Multi-objective Optimization. EMO (2023)
Rui Zhong, Jun Yu, Chao Zhang, Masaharu Munetomo
Surrogate Ensemble-Assisted Hyper-Heuristic Algorithm for Expensive Optimization Problems. Int. J. Comput. Intell. Syst. 16 (1) (2023)
Rui Zhong, Enzhi Zhang, Masaharu Munetomo
A Hierarchical Cooperative Coevolutionary Approach to Solve Very Large-Scale Traveling Salesman Problem. OLA (2023)
Rui Zhong, Masaharu Munetomo
Cooperative coevolutionary hybrid NSGA-II with Linkage Measurement Minimization for Large-scale Multi-objective optimization. CoRR (2022)
Daichi Morimoto, Motoaki Hiraga, Naoya Shiozaki, Kazuhiro Ohkura, Masaharu Munetomo
Generating collective behavior of a multi-legged robotic swarm using an evolutionary robotics approach. Artif. Life Robotics 27 (4) (2022)
Daichi Morimoto, Motoaki Hiraga, Kazuhiro Ohkura, Masaharu Munetomo
Generating and Analyzing Collective Step-Climbing Behavior in a Multi-legged Robotic Swarm. ANTS Conference (2022)
Daichi Morimoto, Motoaki Hiraga, Naoya Shiozaki, Kazuhiro Ohkura, Masaharu Munetomo
Evolving collective step-climbing behavior in multi-legged robotic swarm. Artif. Life Robotics 27 (2) (2022)
Rui Zhong, Masaharu Munetomo
Accelerating differential evolution algorithm with Gaussian sampling based on estimating the convergence points. CoRR (2022)
Enzhi Zhang, Mohamed Wahib, Masaharu Munetomo
Learning from the Past: Regularization by Validation. SCIS/ISIS (2022)
Courtney Powell, Katsunori Miura, Masaharu Munetomo
Many-Constraint and Many-Objective optimization with Bias Index for Intercloud Multi-Workflow Resource Provisioning. SCIS/ISIS (2022)
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 (2022)
Rui Zhong, Enzhi Zhang, Masaharu Munetomo
Accelerating the Evolutionary Algorithms by Gaussian Process Regression with ε-greedy acquisition function. CoRR (2022)
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 (2022)
Katsunori Miura, Courtney Powell, Masaharu Munetomo
Optimal answer generation by equivalent transformation incorporating multi-objective genetic algorithm. Soft Comput. 26 (19) (2022)
Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner
GTOPX space mission benchmarks. SoftwareX 14 (2021)
Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner
GTOPX Space Mission Benchmarks. CoRR (2020)
Tadahiko Murata, Susumu Date, Yusuke Goto, Toshihiro Hanawa, Takuya Harada, Manabu Ichikawa, Lee Hao, Masaharu Munetomo, Akiyoshi Sugiki
Distribution System for Japanese Synthetic Population Data with Protection Level. ICMLC (2020)
Martin Schlueter, Masaharu Munetomo
A Mixed-Integer Extension for ESA's Cassini1 Space Mission Benchmark. CEC (2019)
Tadayuki Yoshida, Ekawit Nantajeewarawat, Masaharu Munetomo, Kiyoshi Akama
Inventing ET Rules to Improve an MI Solver on KR-logic. KEOD (2019)
Tadahiko Murata, Takuya Harada, Manabu Ichika Wa, Yusuke Goto, Lee Hao, Susumu Date, Masaharu Munetomo, Akiyoshi Sugiki
Distribution of Synthetic Populations of Japan for Social Scientists and Social Simulation Researchers. ICMLC (2019)
Luca Faramondi, Gabriele Oliva, Stefano Panzieri, Federica Pascucci, Martin Schlueter, Masaharu Munetomo, Roberto Setola
Network Structural Vulnerability: A Multiobjective Attacker Perspective. IEEE Trans. Syst. Man Cybern. Syst. 49 (10) (2019)
Courtney Powell, Katsunori Miura, Masaharu Munetomo
Constrained Multi-objective Optimization Method for Practical Scientific Workflow Resource Selection. EMO (2019)
Tadayuki Yoshida, Ekawit Nantajeewarawat, Masaharu Munetomo, Kiyoshi Akama
Logical Approach to Theorem Proving with Term Rewriting on KR-logic. KEOD (2019)
Katsunori Miura, Courtney Powell, Masaharu Munetomo
Optimal and Feasible Cloud Resource Configurations Generation Method for Genomic Analytics Applications. CloudCom (2018)
Martin Schlueter, Masaharu Munetomo
Massively parallelized co-evaluation for many-objective space trajectory optimization. GECCO (Companion) (2018)
Courtney Powell, Katsunori Miura, Masaharu Munetomo
Optimal Cloud Resource Selection Method Considering Hard and Soft Constraints and Multiple Conflicting Objectives. IEEE CLOUD (2018)
Masaki Fujiwara, Masaharu Munetomo
A surrogate-assisted selection scheme for genetic algorithms employing multi-layer neural networks. GECCO (Companion) (2018)
Courtney Powell, Katsunori Miura, Masaharu Munetomo
Towards a small diverse pareto-optimal solutions set generator for multiobjective optimization problems. GECCO (Companion) (2018)
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)
Martin Schlueter, Mohamed Wahib, Masaharu Munetomo
Numerical Optimization of ESA's Messenger Space Mission Benchmark. EvoApplications (1) (2017)
Phyo Thandar Thant, Courtney Powell, Martin Schlueter, Masaharu Munetomo
A Level-Wise Load Balanced Scientific Workflow Execution Optimization using NSGA-II. CCGrid (2017)
Martin Schlueter, Masaharu Munetomo
MIDACO Parallelization Scalability on 200 MINLP Benchmarks. J. Artif. Intell. Soft Comput. Res. 7 (3) (2017)
Kousuke Izumiya, Masaharu Munetomo
Multi-objective Evolutionary optimization based on Decomposition with Linkage Identification considering monotonicity. CEC (2017)
Phyo Thandar Thant, Courtney Powell, Martin Schlueter, Masaharu Munetomo
Multiobjective Level-Wise Scientific Workflow Optimization in IaaS Public Cloud Environment. Sci. Program. 2017 (2017)
Martin Schlueter, Masaharu Munetomo
Numerical assessment of the parallelization scalability on 200 MINLP benchmarks. CEC (2016)
Phyo Thandar Thant, Courtney Powell, Akiyoshi Sugiki, Masaharu Munetomo
Multi-objective Hadoop Configuration Optimization Using Steady-State NSGA-II. SCIS&ISIS (2016)
Courtney Powell, Phyo Thandar Thant, Masaharu Munetomo
Evaluation of Three Steady-State NSGA-III Offspring Selection Schemes for Many-Objective Optimization. SCIS&ISIS (2016)
Katsunori Miura, Masaharu Munetomo
A Predicate Logic-Defined Specification Method for Systems Deployed by Intercloud Brokerages. IC2E Workshops (2016)
Katsunori Miura, Tazro Ohta, Courtney Powell, Masaharu Munetomo
Intercloud brokerages based on PLS method for deploying infrastructures for big data analytics. IEEE BigData (2016)
Takahito Seyama, Masaharu Munetomo
Development of a multi-player interactive genetic algorithm-based 3D modeling system for glasses. CEC (2016)
Masataka Mizukoshi, Masaharu Munetomo
Distributed denial of services attack protection system with genetic algorithms on Hadoop cluster computing framework. CEC (2015)
Ryosuke Hasebe, Rina Kouda, Kei Ohnishi, Masaharu Munetomo
Human-based genetic algorithm for facilitating practical use of data in the internet. SCIS&ISIS (2014)
Martin Schlueter, Masaharu Munetomo
Parallelization for space trajectory optimization. IEEE Congress on Evolutionary Computation (2014)
Courtney Powell, Takashi Aizawa, Masaharu Munetomo
Design of an SSO authentication infrastructure for heterogeneous inter-cloud environments. CloudNet (2014)
Courtney Powell, Masaharu Munetomo, Martin Schlueter, Masataka Mizukoshi
Towards Thought Control of Next-Generation Wearable Computing Devices. Brain and Health Informatics (2013)
Martin Schlueter, Masaharu Munetomo
Parallelization strategies for evolutionary algorithms for MINLP. IEEE Congress on Evolutionary Computation (2013)
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)
Omar Arif Abdul-Rahman, Masaharu Munetomo, Kiyoshi Akama
An adaptive parameter binary-real coded genetic algorithm for constraint optimization problems: Performance analysis and estimation of optimal control parameters. Inf. Sci. 233 (2013)
Masaharu Munetomo, Shintaro Bando
A scalable infrastructure of interactive evolutionary computation to evolve services online with data. IEEE BigData (2013)
Omar Abdul-Rahman, Masaharu Munetomo, Kiyoshi Akama
Toward a Genetic Algorithm Based Flexible Approach for the Management of Virtualized Application Environments in Cloud Platforms. ICCCN (2012)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
A Framework for Cloud Embedded Web Services Utilized by Cloud Applications. SERVICES (2011)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
Optimization of parallel Genetic Algorithms for nVidia GPUs. IEEE Congress on Evolutionary Computation (2011)
Omar Abdul-Rahman, Masaharu Munetomo, Kiyoshi Akama
Multi-Level Autonomic Architecture for the Management of Virtualized Application Environments in Cloud Platforms. IEEE CLOUD (2011)
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
Advanced genetic algorithm to solve MINLP problems over GPU. IEEE Congress on Evolutionary Computation (2011)
Omar Abdul-Rahman, Masaharu Munetomo, Kiyoshi Akama
An improved binary-real coded genetic algorithm for real parameter optimization. NaBIC (2011)
Masaharu Munetomo
Realizing robust and scalable evolutionary algorithms toward exascale era. IEEE Congress on Evolutionary Computation (2011)
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
Solving Extremely Difficult MINLP Problems Using Adaptive Resolution Micro-GA with Tabu Search. LION (2011)
Omar Arif Abdul-Rahman, Masaharu Munetomo, Kiyoshi Akama
An adaptive resolution hybrid binary-real coded genetic algorithm. Artif. Life Robotics 16 (1) (2011)
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)
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) (2010)
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)
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)
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) (2010)
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
Theoretical and Empirical Analysis of a GPU Based Parallel Bayesian Optimization Algorithm. PDCAT (2009)
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) (2009)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
SOAG: Service Oriented Architectured Grids and adoption of application specific QoS attributes. GRID (2008)
Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
Empirical investigations on parallel competent genetic algorithms. GECCO (2008)
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)
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
Solving Large Instances of Capacitated Vehicle Routing Problem over Cell BE. HPCC (2008)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
A General Service-Oriented Grid Computing Framework for Global Optimization Problem Solving. IEEE SCC (2) (2008)
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
A Survey: Genetic Algorithms and the Fast Evolving World of Parallel Computing. HPCC (2008)
Masaharu Munetomo, Naoya Murao, Kiyoshi Akama
Introducing assignment functions to Bayesian optimization algorithms. Inf. Sci. 178 (1) (2008)
Masaharu Munetomo, Yuta Satake, Kiyoshi Akama
An Intelligent Scatter with Estimation of Distribution for Tabu Search. EUROCAST (2007)
Masaharu Munetomo, Asim Munawar, Kiyoshi Akama
A Framework of GRID Problem-Solving Environment Employing Robust Evolutionary Search. EUROCAST (2007)
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)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
MHGrid: Towards an Ideal Optimization Environment for Global Optimization Problems Using Grid Computing. PDCAT (2007)
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)
Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
Linkage Identification by Fitness Difference Clustering. Evol. Comput. 14 (4) (2006)
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)
Masaharu Munetomo, Yuta Satake, Kiyoshi Akama
Enhancing Model-building Efficiency in Extended Compact Genetic Algorithms. SMC (2006)
Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
A crossover for complex building blocks overlapping. GECCO (2006)
Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
Theoretical and Empirical Investigations on Difficulty in Structure Learning by Estimation of Distribution Algorithms. SMC (2006)
Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
Linkage identification for real-valued loci by fitness difference classification. Congress on Evolutionary Computation (2005)
Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
Population Sizing of Dependency Detection by Fitness Difference Classification. FOGA (2005)
Masaharu Munetomo, Naoya Murao, Kiyoshi Akama
Empirical studies on parallel network construction of Bayesian optimization algorithms. Congress on Evolutionary Computation (2005)
Masaru Tezuka, Masaharu Munetomo, Kiyoshi Akama
Linkage Identification by Nonlinearity Check for Real-Coded Genetic Algorithms. GECCO (2) (2004)
Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
Modeling Dependencies of Loci with String Classification According to Fitness Differences. GECCO (2) (2004)
Hidehiro Kobayashi, Masaharu Munetomo, Kiyoshi Akama, Yoshiharu Sato
Designing a distributed algorithm for bandwidth allocation with a genetic algorithm. Systems and Computers in Japan 35 (3) (2004)
Masaharu Munetomo, Naoya Murao, Kiyoshi Akama
Empirical Investigations on Parallelized Linkage Identification. PPSN (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Masaharu Munetomo