Akira Oyama
According to our database1,
Akira Oyama
authored at least 47 papers
between 2000 and 2023.
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Bibliography
2023
Exophora Resolution of Linguistic Instructions with a Demonstrative based on Real-World Multimodal Information.
Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023
2022
Gegenbauer reconstruction method with edge detection for multi-dimensional uncertainty propagation.
J. Comput. Phys., 2022
Multi-Objective Evolutionary Algorithm Fully Based on Unbounded Archive for Problems Requiring Very Expensive Solution Evaluations.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Improved Genetic Programming for Symbolic Regression: Case Studies on Practical Applications.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
Proceedings of the 18th International Conference on Ubiquitous Robots, 2021
Comparative Study of Crossovers for Decision Space Diversity of Non-Dominated Solutions.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
2020
CoRR, 2020
Adaptively preserving solutions in both feasible and infeasible regions on generalized multiple constraint ranking.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Towards realistic optimization benchmarks: a questionnaire on the properties of real-world problems.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
Impact of Estimation Method of Ideal/Nadir Points on Practically-Constrained Multi-Objective Optimization Problems for Decomposition-Based Multi-Objective Evolutionary Algorithm.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Benchmarking constrained surrogate-based optimization on low speed airfoil design problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Improved binary additive epsilon indicator for obtaining uniformly distributed solutions in multi-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
On improving the constraint-handling performance with modified multiple constraint ranking (MCR-mod) for engineering design optimization problems solved by evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Coverage Enhancement of MOEA/D-M2M for Problems with Difficult-to-Approximate Pareto Front Boundaries.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Study on Improving Efficiency of Multi-Objective Evolutionary Algorithm with Large Population by M2M Decomposition and Elitist Mate Selection Scheme.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Benchmarking multiobjective evolutionary algorithms and constraint handling techniques on a real-world car structure design optimization benchmark problem.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
A Generic Framework for Incorporating Constraint Handling Techniques into Multi-Objective Evolutionary Algorithms.
Proceedings of the Applications of Evolutionary Computation, 2018
2017
Benchmarking Multi- and Many-Objective Evolutionary Algorithms Under Two Optimization Scenarios.
IEEE Access, 2017
Simultaneous structure design optimization of multiple car models using the K computer.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Benchmarking MOEAs for multi- and many-objective optimization using an unbounded external archive.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
The Impact of Population Size, Number of Children, and Number of Reference Points on the Performance of NSGA-III.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Evolutionary computation for many-objective optimization problems using massive population sizes on the K supercomputer.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Evolutionary many-objective optimization using dynamic ε-Hoods and Chebyshev function.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
A ranking method based on two preference criteria: Chebyshev function and ∈-indicator.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Many-objective evolutionary computation for optimization of separated-flow control using a DBD plasma actuator.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Distribution Search on Evolutionary Many-Objective Optimization: Selection Mappings and Recombination Rate.
Proceedings of the Evolution, Complexity and Artificial Life, 2014
2013
A New Multiobjective Genetic Programming for Extraction of Design Information from Non-dominated Solutions.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013
An Alternative Preference Relation to Deal with Many-Objective Optimization Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013
Space trajectory design: Analysis of a real-world many-objective optimization problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
Analysis on Population Size and Neighborhood Recombination on Many-Objective Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012
A Study on Large Population MOEA Using Adaptive ε-Box Dominance and Neighborhood Recombination for Many-Objective Optimization.
Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012
Data Mining of Pareto-Optimal Solutions of a Solar Observatory Trajectory Design Problem.
Proceedings of the Infotech@Aerospace 2012, 2012
2009
Aerodynamic Multiobjective Design Exploration of a Flapping Airfoil Using a Navier-Stokes Solver.
J. Aerosp. Comput. Inf. Commun., 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
2008
J. Aerosp. Comput. Inf. Commun., 2008
2005
A new efficient and useful robust optimization approach - design for multi-objective six sigma.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2001
Appl. Soft Comput., 2001
2000
Proceedings of the High Performance Computing, Third International Symposium, 2000