Minami Miyakawa

According to our database, Minami Miyakawa authored at least 25 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Exploring the decision and objective space of SAT constrained multi-objective problems.

Felipe Honjo Ide, Hernán E. Aguirre, Minami Miyakawa, Darrell Whitley

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

A Generator for Scalable SAT Constrained Multi-Objective Optimization Benchmark Problems.

Felipe Honjo Ide, Hernán E. Aguirre, Minami Miyakawa, Darrell Whitley

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Inconstant Update of Reference Point Value for Parallel and Distributed MOEA/D.

Mikiko Sato, Yuji Sato, Mads A. Midtlyng, Minami Miyakawa

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Semi-supervised data clustering using particle swarm optimisation.

Daphne Teck Ching Lai, Minami Miyakawa, Yuji Sato

Soft Comput., 2020

Parallel and Distributed MOEA/D with Exclusively Evaluated Mating and Migration.

Yuji Sato, Mikiko Sato, Mads A. Midtlyng, Minami Miyakawa

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Distributed NSGA-II Sharing Extreme Non-dominated Solutions for Improving Accuracy and Achieving Speed-up.

Yuji Sato, Mikiko Sato, Minami Miyakawa

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Effects of Duplication Operator in Evolutionary Simultaneous Design Optimization of Multiple Cars.

Minami Miyakawa, Hiroyuki Sato, Haruka Matsumoto, Mariko Tanaka, Mikiko Sato, Yuji Sato

Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

Distributed NSGA-II sharing extreme non-dominated solutions.

Yuji Sato, Mikiko Sato, Minami Miyakawa

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Directed mating in decomposition-based MOEA for constrained many-objective optimization.

Minami Miyakawa, Hiroyuki Sato, Yuji Sato

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

Multi-objetive optimization problem mapping based on algorithmic parameter rankings.

Motoaki Kakuguchi, Minami Miyakawa, Keiki Takadama, Hiroyuki Sato

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Distributed NSGA-II with migration using compensation on many-core processors for improving performance and accuracy.

Yuji Sato, Mikiko Sato, Minami Miyakawa

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

An improved MOEA/D utilizing variation angles for multi-objective optimization.

Hiroyuki Sato, Minami Miyakawa, Keiki Takadama

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Utilization of infeasible solutions in MOEA/D for solving constrained many-objective optimization problems.

Minami Miyakawa, Hiroyuki Sato, Yuji Sato

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Controlling selection areas of useful infeasible solutions for directed mating in evolutionary constrained multi-objective optimization.

Minami Miyakawa, Keiki Takadama, Hiroyuki Sato

Ann. Math. Artif. Intell., 2016

Evolutionary Algorithmic Parameter Optimization of MOEAs for Multiple Multi-objective Problems.

Motoaki Kakuguchi, Minami Miyakawa, Keiki Takadama, Hiroyuki Sato

Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016

Enhanced decomposition-based many-objective optimization using supplemental weight vectors.

Hiroyuki Sato, Satoshi Nakagawa, Minami Miyakawa, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Adaptive Control of Dominance Area of Solutions in Evolutionary Many-Objective Optimization.

Kouhei Tomita, Minami Miyakawa, Hiroyuki Sato

New Math. Nat. Comput., 2015

A Parallel MOEA/D Generating Solutions in Minimum Overlapped Update Ranges of Solutions.

Hiroyuki Sato, Minami Miyakawa, Elizabeth Pérez Cortés

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Control of Crossed Genes Ratio for Directed Mating in Evolutionary Constrained Multi-Objective Optimization.

Minami Miyakawa, Keiki Takadama, Hiroyuki Sato

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Directed mating using inverted PBI function for constrained multi-objective optimization.

Minami Miyakawa, Keiki Takadama, Hiroyuki Sato

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Archive of Useful Solutions for Directed Mating in Evolutionary Constrained Multiobjective Optimization.

Minami Miyakawa, Keiki Takadama, Hiroyuki Sato

J. Adv. Comput. Intell. Intell. Informatics, 2014

Controlling Selection Area of Useful Infeasible Solutions in Directed Mating for Evolutionary Constrained Multiobjective Optimization.

Minami Miyakawa, Keiki Takadama, Hiroyuki Sato

Proceedings of the Learning and Intelligent Optimization, 2014

Controlling selection area of useful infeasible solutions and their archive for directed mating in evolutionary constrained multiobjective optimization.

Minami Miyakawa, Keiki Takadama, Hiroyuki Sato

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

Two-stage non-dominated sorting and directed mating for solving problems with multi-objectives and constraints.

Minami Miyakawa, Keiki Takadama, Hiroyuki Sato

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012

An evolutionary algorithm using two-stage non-dominated sorting and directed mating for constrained multi-objective optimization.

Minami Miyakawa, Hiroyuki Sato

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012