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GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
15 years 8 months ago
An online implementable differential evolution tuned optimal guidance law
This paper proposes a novel application of differential evolution to solve a difficult dynamic optimisation or optimal control problem. The miss distance in a missile-target engag...
Raghunathan Thangavelu, S. Pradeep
112
Voted
GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
15 years 8 months ago
Two-level of nondominated solutions approach to multiobjective particle swarm optimization
In multiobjective particle swarm optimization (MOPSO) methods, selecting the local best and the global best for each particle of the population has a great impact on the convergen...
M. A. Abido
113
Voted
GECCO
2005
Springer
288views Optimization» more  GECCO 2005»
15 years 7 months ago
A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices
Genetic Algorithms (GAs) are a search and optimization technique based on the mechanism of evolution. Recently, another sort of population-based optimization method called Estimat...
Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto
GECCO
2010
Springer
214views Optimization» more  GECCO 2010»
15 years 5 months ago
Mixed-integer evolution strategy using multiobjective selection applied to warehouse design optimization
This paper reports about the application of a new variant of multiobjective Mixed-Integer Evolution Strategy to a warehouse design optimization problem. The algorithm is able to d...
Edgar Reehuis, Thomas Bäck
WSC
2007
15 years 4 months ago
Agile optimization for coercion
Coercion combines flexible points, semi-automated optimization and expert guided manual code modification for adapting simulations to meet new requirements. Coercion can improve s...
Lingjia Tang, Paul F. Reynolds Jr.