Skip to main content

and
  1. No Access

    Chapter

    Identifying Properties of Real-World Optimisation Problems Through a Questionnaire

    Optimisation algorithms are commonly compared on benchmarks to get insight into performance differences. However, it is not clear how closely benchmarks match the properties of real-world problems because thes...

    Koen van der Blom, Timo M. Deist in Many-Criteria Optimization and Decision An… (2023)

  2. No Access

    Article

    Dominant parameters for maximum velocity induced by body-force models for plasma actuators

    This study investigates the relationship between body-force fields and maximum velocity induced in quiescent air for development of a simple body-force model of a plasma actuator. Numerical simulations are con...

    Shigetaka Kawai, Thijs Bouwhuis in Theoretical and Computational Fluid Dynami… (2018)

  3. No Access

    Chapter and Conference Paper

    A Generic Framework for Incorporating Constraint Handling Techniques into Multi-Objective Evolutionary Algorithms

    A generic framework for incorporating constraint handling techniques (CHTs) into multi-objective evolutionary algorithms (MOEAs) is proposed to resolve the differences between MOEAs from algorithmic and implem...

    Hiroaki Fukumoto, Akira Oyama in Applications of Evolutionary Computation (2018)

  4. No Access

    Chapter and Conference Paper

    The Impact of Population Size, Number of Children, and Number of Reference Points on the Performance of NSGA-III

    We investigate the impact of three control parameters (the population size \(\mu \) , the number of children ...

    Ryoji Tanabe, Akira Oyama in Evolutionary Multi-Criterion Optimization (2017)

  5. No Access

    Chapter and Conference Paper

    Two- and Three-Dimensional Numerical Analysis for Flow Field Characteristics at Various Low Reynolds Numbers

    Two- (2D) and three-dimensional (3D) simulation of flow over a flat plate at various low Reynolds numbers (Re) are conducted. The predictability of instantaneous flow fields in the 2D simulation and variation of ...

    Donghwi Lee, Taku Nonomura, Akira Oyama in Proceedings of the 5th International Confe… (2016)

  6. No Access

    Chapter and Conference Paper

    Extending AεSεH from Many-objective to Multi-objective Optimization

    This work analyzes the dynamics of dominance based multi-objective evolutionary algorithms and extends a many-objective evolutionary algorithm so that it can also work effectively in multi-objective problems. ...

    Hernán Aguirre, Yuki Yazawa, Akira Oyama in Simulated Evolution and Learning (2014)

  7. No Access

    Chapter

    Distribution Search on Evolutionary Many-Objective Optimization: Selection Map**s and Recombination Rate

    This work studies distribution search in the context of evolutionary many-objective optimization where, in addition to good convergence towards the optimal Pareto front, it is required to find a set of trade-o...

    Hernán Aguirre, Akira Oyama, Kiyoshi Tanaka in Evolution, Complexity and Artificial Life (2014)

  8. No Access

    Chapter and Conference Paper

    A New Multiobjective Genetic Programming for Extraction of Design Information from Non-dominated Solutions

    We propose a new type of multi-objective genetic programming (MOGP) for multi-objective design exploration (MODE). The characteristic of the new MOGP is the simultaneous symbolic regression to multiple objecti...

    Tomoaki Tatsukawa, Taku Nonomura, Akira Oyama in Evolutionary Multi-Criterion Optimization (2013)

  9. No Access

    Chapter and Conference Paper

    An Alternative Preference Relation to Deal with Many-Objective Optimization Problems

    In this paper, we use an alternative preference relation that couples an achievement function and the ε-indicator in order to improve the scalability of a Multi-Objective Evolutionary Algorithm (moea) in many-obj...

    Antonio L’opez, Carlos A. Coello Coello in Evolutionary Multi-Criterion Optimization (2013)

  10. No Access

    Chapter and Conference Paper

    Adaptive ε-Sampling and ε-Hood for Evolutionary Many-Objective Optimization

    Many-objective problems are becoming common in several real-world application domains and there is a growing interest to develop evolutionary many-objective optimizers that can solve them effectively. Studies ...

    Hernán Aguirre, Akira Oyama, Kiyoshi Tanaka in Evolutionary Multi-Criterion Optimization (2013)

  11. No Access

    Chapter and Conference Paper

    Analysis on Population Size and Neighborhood Recombination on Many-Objective Optimization

    This work analyzes population size and neighborhood recombination in the context of many-objective optimization. Large populations might support better the evolutionary search to deal with the increased comple...

    Naoya Kowatari, Akira Oyama, Hernán Aguirre in Parallel Problem Solving from Nature - PPS… (2012)

  12. No Access

    Chapter and Conference Paper

    A Study on Large Population MOEA Using Adaptive ε-Box Dominance and Neighborhood Recombination for Many-Objective Optimization

    Multi-objective evolutionary algorithms are increasingly being investigated to solve many-objective optimization problems. However, most algorithms recently proposed for many-objective optimization cannot find...

    Naoya Kowatari, Akira Oyama, Hernán E. Aguirre in Learning and Intelligent Optimization (2012)

  13. No Access

    Chapter and Conference Paper

    Large-Eddy Simulation of the Flow over a Thin Airfoil at Low Reynolds Number

    The performance of airfoil NACA0002 at Reynolds number of 2.3 × 104 is investigated with large-eddy simulation (LES). The angle of attack is 3, 6, or 9 degree. The behavior of a laminar separation bubble which ap...

    Ryoji Kojima, Taku Nonomura, Akira Oyama, Kozo Fujii in Computational Fluid Dynamics 2010 (2011)

  14. No Access

    Chapter and Conference Paper

    Aerodynamic Multiobjective Design Exploration of Flap** Wing Using a Navier–Stokes Solver

    An aerodynamic design optimization problem of a three-dimensional flap** wing is explored with the multiobjective design exploration framework coupled with a Navier – Stokes solver. The results show that the...

    Yuuki Yamazaki, Akira Oyama, Taku Nonomura, Kozo Fujii in Computational Fluid Dynamics 2010 (2011)

  15. No Access

    Chapter and Conference Paper

    Propulsion by an Oscillating Thin Airfoil at Low Reynolds Number

    This paper describes an investigation of the mechanisms producing thrust for an airfoil performing a pitching or heaving motion in a low Reynolds-number flow (Re = 1000, based on chord length) by analysis of nume...

    Roel Müller, Akira Oyama, Kozo Fujii in Computational Fluid Dynamics 2008 (2009)

  16. No Access

    Chapter

    Constraint-Handling in Evolutionary Aerodynamic Design

    Constraint-handling techniques for evolutionary multiobjective aerodynamic and multidisciplinary designs are focused. Because number of evaluations is strictly limited in aerodynamic or multidisciplinary desig...

    Akira Oyama in Constraint-Handling in Evolutionary Optimization (2009)

  17. No Access

    Chapter and Conference Paper

    Transonic Wing Shape Optimization Based on Evolutionary Algorithms

    A practical three-dimensional shape optimization for aerodynamic design of a transonic wing has been performed using Evolutionary Algorithms (EAs). Because EAs coupled with aerodynamic function evaluations req...

    Shigeru Obayashi, Akira Oyama, Takashi Nakamura in High Performance Computing (2000)

  18. No Access

    Chapter and Conference Paper

    Real-Coded Adaptive Range Genetic Algorithm Applied to Transonic Wing Optimization

    Real-coded Adaptive Range Genetic Algorithms (ARGAs) have been applied to a practical three-dimensional shape optimization for aerodynamic design of an aircraft wing. The real-coded ARGAs possess both advantag...

    Akira Oyama, Shigeru Obayashi in Parallel Problem Solving from Nature PPSN … (2000)