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EMO
2003
Springer
86views Optimization» more  EMO 2003»
14 years 2 months ago
No Free Lunch and Free Leftovers Theorems for Multiobjective Optimisation Problems
Abstract. The classic NFL theorems are invariably cast in terms of single objective optimization problems. We confirm that the classic NFL theorem holds for general multiobjective ...
David Corne, Joshua D. Knowles
GECCO
2003
Springer
137views Optimization» more  GECCO 2003»
14 years 2 months ago
The Spatially-Dispersed Genetic Algorithm
Abstract. Spatially structured population models improve the performance of genetic algorithms by assisting the selection scheme in maintaining diversity. A significant concern wi...
Grant Dick
GECCO
2003
Springer
415views Optimization» more  GECCO 2003»
14 years 2 months ago
Evolutionary Algorithms for Two Problems from the Calculus of Variations
Abstract. A brachistochrone is the path along which a weighted particle falls most quickly from one point to another, and a catenary is the smooth curve connecting two points whose...
Bryant A. Julstrom
GECCO
2003
Springer
132views Optimization» more  GECCO 2003»
14 years 2 months ago
Circuit Bipartitioning Using Genetic Algorithm
Abstract. In this paper, we propose a hybrid genetic algorithm for partitioning a VLSI circuit graph into two disjoint graphs of minimum cut size. The algorithm includes a local op...
Jong-Pil Kim, Byung Ro Moon
GECCO
2003
Springer
132views Optimization» more  GECCO 2003»
14 years 2 months ago
Evolutionary Multimodal Optimization Revisited
Abstract. We revisit a class of multimodal function optimizations using evolutionary algorithms reformulated into a multiobjective framework where previous implementations have nee...
Rajeev Kumar, Peter Rockett