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GECCO
2005
Springer
157views Optimization» more  GECCO 2005»
14 years 1 months ago
Simple addition of ranking method for constrained optimization in evolutionary algorithms
During the optimization of a constrained problem using evolutionary algorithms (EAs), an individual in the population can be described using three important properties, i.e., obje...
Pei Yee Ho, Kazuyuki Shimizu
EOR
2010
110views more  EOR 2010»
13 years 7 months ago
A hybrid metaheuristic approach to solving the UBQP problem
This paper presents a hybrid metaheuristic approach (HMA) for solving the Unconstrained Binary Quadratic Programming (UBQP) problem. By incorporating a tabu search procedure into ...
Zhipeng Lü, Fred Glover, Jin-Kao Hao
GECCO
2006
Springer
287views Optimization» more  GECCO 2006»
13 years 11 months ago
A GA-ACO-local search hybrid algorithm for solving quadratic assignment problem
In recent decades, many meta-heuristics, including genetic algorithm (GA), ant colony optimization (ACO) and various local search (LS) procedures have been developed for solving a...
Yiliang Xu, Meng-Hiot Lim, Yew-Soon Ong, Jing Tang
IJACTAICIT
2010
160views more  IJACTAICIT 2010»
13 years 5 months ago
Concentric Circular Array Antenna Null Steering Synthesis by Using Modified Hybrid Ant Colony System Algorithm
In this article, a hybrid optimization method has been proposed consisting of modified ant colony systems (ACSs) and constrained nonlinear programming (NLP) to solve the problems ...
Ali Abdulhadi Noaman
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
13 years 11 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace