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» Using Genetic Algorithms for Solving Hard Problems in GIS
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AMC
2005
136views more  AMC 2005»
13 years 8 months ago
Solving a dynamic cell formation problem using metaheuristics
In this paper, solving a cell formation (CF) problem in dynamic condition is going to be discussed by using some traditional metaheuristic methods such as genetic algorithm (GA), ...
Reza Tavakkoli-Moghaddam, M. B. Aryanezhad, Nima S...
ASIAMS
2007
IEEE
14 years 2 months ago
Solving Shortest Capacitated Path Problem Using a Bi-Objective Heuristic Approach
The shortest capacitated path problem is a well known problem in the networking area, having a wide range of applications. In the shortest capacitated path problem, a traffic flow...
Crina Grosan, Ajith Abraham
ESWA
2007
100views more  ESWA 2007»
13 years 8 months ago
Using memetic algorithms with guided local search to solve assembly sequence planning
The goal of assembly planning consists in generating feasible sequences to assemble a product and selecting an efficient assembly sequence from which related constraint factors su...
Hwai-En Tseng, Wen-Pai Wang, Hsun-Yi Shih
CP
2003
Springer
14 years 1 months ago
Using the Breakout Algorithm to Identify Hard and Unsolvable Subproblems
Abstract. Local search algorithms have been very successful for solving constraint satisfaction problems (CSP). However, a major weakness has been that local search is unable to de...
Carlos Eisenberg, Boi Faltings
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
14 years 3 days ago
Dominance learning in diploid genetic algorithms for dynamic optimization problems
This paper proposes an adaptive dominance mechanism for diploidy genetic algorithms in dynamic environments. In this scheme, the genotype to phenotype mapping in each gene locus i...
Shengxiang Yang