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GECCO
2004
Springer
144views Optimization» more  GECCO 2004»
16 years 7 days ago
Feature Subset Selection, Class Separability, and Genetic Algorithms
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...
Erick Cantú-Paz
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
16 years 7 days ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf
GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
16 years 7 days ago
Better Spread and Convergence: Particle Swarm Multiobjective Optimization Using the Maximin Fitness Function
Maximin strategy has its origin in game theory, but it can be adopted for effective multiobjective optimization. This paper proposes a particle swarm multiobjective optimiser, max...
Xiaodong Li
GECCO
2004
Springer
125views Optimization» more  GECCO 2004»
16 years 7 days ago
An Island-Based GA Implementation for VLSI Standard-Cell Placement
Genetic algorithms require relatively large computation time to solve optimization problems, especially in VLSI CAD such as module placement. Therefore, island-based parallel GAs a...
Guangfa Lu, Shawki Areibi
GECCO
2004
Springer
125views Optimization» more  GECCO 2004»
16 years 7 days ago
Population-Based Iterated Local Search: Restricting Neighborhood Search by Crossover
Abstract. Iterated local search (ILS) is a powerful meta-heuristic algorithm applied to a large variety of combinatorial optimization problems. Contrary to evolutionary algorithms ...
Dirk Thierens