316 citations · 987 across the 20 of their papers we have counts for
12 papers · 1 filter
TPAM: A Simulation-Based Model for Quantitatively Analyzing Parameter Adaptation Methods
Ryoji Tanabe, Alex Fukunaga
While a large number of adaptive Differential Evolution (DE) algorithms have been proposed, their Parameter Adaptation Methods (PAMs) are not well understood. We propose a Target f…
Reviewing and Benchmarking Parameter Control Methods in Differential Evolution
Ryoji Tanabe, Alex Fukunaga
Many Differential Evolution (DE) algorithms with various parameter control methods (PCMs) have been proposed. However, previous studies usually considered PCMs to be an integral co…
How Far Are We From an Optimal, Adaptive DE?
Ryoji Tanabe, Alex Fukunaga
We consider how an (almost) optimal parameter adaptation process for an adaptive DE might behave, and compare the behavior and performance of this approximately optimal process to…
An Analysis of Control Parameters of MOEA/D Under Two Different Optimization Scenarios
Ryoji Tanabe, Hisao Ishibuchi
An unbounded external archive (UEA), which stores all nondominated solutions found during the search process, is frequently used to evaluate the performance of multi-objective evol…
Review and Analysis of Three Components of Differential Evolution Mutation Operator in MOEA/D-DE
Ryoji Tanabe, Hisao Ishibuchi
A decomposition-based multi-objective evolutionary algorithm with a differential evolution variation operator (MOEA/D-DE) shows high performance on challenging multi-objective prob…
A Niching Indicator-Based Multi-modal Many-objective Optimizer
Ryoji Tanabe, Hisao Ishibuchi
Multi-modal multi-objective optimization is to locate (almost) equivalent Pareto optimal solutions as many as possible. Some evolutionary algorithms for multi-modal multi-objective…