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» On Test Functions for Evolutionary Multi-objective Optimizat...
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122
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PPSN
2004
Springer
15 years 8 months ago
SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2
Multi-objective optimization methods are essential to resolve real-world problems as most involve several types of objects. Several multi-objective genetic algorithms have been pro...
Mifa Kim, Tomoyuki Hiroyasu, Mitsunori Miki, Shiny...
120
Voted
GECCO
2003
Springer
130views Optimization» more  GECCO 2003»
15 years 8 months ago
A New Approach to Improve Particle Swarm Optimization
Abstract. Particle swarm optimization (PSO) is a new evolutionary computation technique. Although PSO algorithm possesses many attractive properties, the methods of selecting inert...
Liping Zhang, Huanjun Yu, Shangxu Hu
120
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TEC
2002
120views more  TEC 2002»
15 years 2 months ago
Optimization based on bacterial chemotaxis
We present an optimization algorithm based on a model of bacterial chemotaxis. The original biological model is used to formulate a simple optimization algorithm, which is evaluate...
Sibylle D. Müller, Jarno Marchetto, Stefano A...
110
Voted
EUROGP
2003
Springer
101views Optimization» more  EUROGP 2003»
15 years 8 months ago
An Enhanced Framework for Microprocessor Test-Program Generation
Test programs are fragment of code, but, unlike ordinary application programs, they are not intended to solve a problem, nor to calculate a function. Instead, they are supposed to ...
Fulvio Corno, Giovanni Squillero
105
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GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
15 years 6 months ago
Towards an evolutionary tool for the allocation of supermarket shelf space
In this paper we set the first steps towards the development of a commercially viable tool that uses evolutionary computation to address the Product to Shelf Allocation Problem (P...
Anna Esparcia-Alcázar, Lidia Lluch-Revert, ...