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GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
13 years 8 months ago
A new memetic strategy for the numerical treatment of multi-objective optimization problems
In this paper we propose a novel iterative search procedure for multi-objective optimization problems. The iteration process – though derivative free – utilizes the geometry o...
Oliver Schütze, Gustavo Sanchez, Carlos A. Co...
SBIA
2004
Springer
14 years 25 days ago
Detecting Promising Areas by Evolutionary Clustering Search
A challenge in hybrid evolutionary algorithms is to define efficient strategies to cover all search space, applying local search only in actually promising search areas. This pape...
Alexandre César Muniz de Oliveira, Luiz Ant...
CEC
2005
IEEE
14 years 1 months ago
A simple hybrid evolutionary algorithm for finding Golomb rulers
Abstract- Finding Golomb rulers is an extremely challenging optimization problem (with many practical applications) that has been approached by a variety of search methods in recen...
Iván Dotú, Pascal Van Hentenryck
AMC
2007
154views more  AMC 2007»
13 years 7 months ago
A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training
The particle swarm optimization algorithm was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search process will become ve...
Jing-Ru Zhang, Jun Zhang, Tat-Ming Lok, Michael R....
GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
14 years 2 months ago
A hybrid genetic algorithm for a variant of two-dimensional packing problem
A variant of two-dimensional packing problem was given in the GECCO’2008 competition. This paper describes the genetic algorithm that produced the best result and thus won the N...
Jin Kim, Byung Ro Moon