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GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
13 years 8 months ago
Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
Saúl Zapotecas Martínez, Carlos A. C...
AI
1998
Springer
13 years 11 months ago
A Hybrid Genetic Algorithm for the Vehicle Routing Problem with Time Windows
A variety of hybrid genetic algorithms has been recently proposed to address the vehicle routing problem with time windows (VRPTW), a problem known to be NP-hard. However, very few...
Jean Berger, Martin Salois, Regent Begin
ICANNGA
2007
Springer
112views Algorithms» more  ICANNGA 2007»
14 years 1 months ago
Multiple Sequence Alignment with Evolutionary-Progressive Method
A new evolutionary-progressive method for Multiple Sequence Alignment problem is proposed. The method efficiently combines flexibility of evolutionary approach with speed and accu...
Pawel Kupis, Jacek Mandziuk
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
2004
Springer
14 years 27 days ago
Systematic Integration of Parameterized Local Search Techniques in Evolutionary Algorithms
Application-specific, parameterized local search algorithms (PLSAs), in which optimization accuracy can be traded off with runtime, arise naturally in many optimization contexts....
Neal K. Bambha, Shuvra S. Bhattacharyya, Jürg...