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» Hybridization of genetic algorithm and local search in multi...
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GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
13 years 8 months ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi
GECCO
2000
Springer
131views Optimization» more  GECCO 2000»
13 years 8 months ago
A Genetic Algorithm with Tabu Search for Multimodal and Multiobjective Function Optimization
The integration of genetic algorithms (GAs) and tabu search is one of traditional problems in function optimization in the GA literature. However, most proposed methods have utili...
Setsuya Kurahashi, Takao Terano
HIS
2008
13 years 6 months ago
Using Genetic Algorithm for Hybrid Modes of Collaborative Filtering in Online Recommenders
Online recommenders are usually referred to those used in e-Commerce websites for suggesting a product or service out of many choices. The core technology implemented behind this ...
Simon Fong, Yvonne Ho, Yang Hang
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
13 years 10 months ago
Hybrid multiobjective genetic algorithm with a new adaptive local search process
This paper is concerned with a specific brand of evolutionary algorithms: Memetic algorithms. A new local search technique with an adaptive neighborhood setting process is introdu...
Salem F. Adra, Ian Griffin, Peter J. Fleming