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GECCO
2005
Springer
138views Optimization» more  GECCO 2005»
14 years 26 days ago
Promising infeasibility and multiple offspring incorporated to differential evolution for constrained optimization
In this paper, we incorporate a diversity mechanism to the differential evolution algorithm to solve constrained optimization problems without using a penalty function. The aim is...
Efrén Mezura-Montes, Jesús Vel&aacut...
CEC
2007
IEEE
13 years 11 months ago
Mobile robot global localization using differential evolution and particle swarm optimization
For a mobile robot to move in a known environment and operate successfully, first it needs to robustly determine its initial position and orientation relative to the map, and then ...
Ali R. Vahdat, Naser NourAshrafoddin, Saeed Shiry ...
GECCO
2005
Springer
111views Optimization» more  GECCO 2005»
14 years 23 days ago
Optimization with constraints using a cultured differential evolution approach
In this paper we propose a cultural algorithm, where different knowledge sources modify the variation operator of a differential evolution algorithm. Differential evolution is u...
Ricardo Landa Becerra, Carlos A. Coello Coello
SYNASC
2005
IEEE
170views Algorithms» more  SYNASC 2005»
14 years 27 days ago
Density Based Clustering with Crowding Differential Evolution
The aim of this work is to analyze the applicability of crowding differential evolution to unsupervised clustering. The basic idea of this approach, interpreting the clustering pr...
Daniela Zaharie
GECCO
2010
Springer
197views Optimization» more  GECCO 2010»
14 years 4 days ago
Adaptive strategy selection in differential evolution
Differential evolution (DE) is a simple yet powerful evolutionary algorithm for global numerical optimization. Different strategies have been proposed for the offspring generation...
Wenyin Gong, Álvaro Fialho, Zhihua Cai