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GECCO
2004
Springer
112views Optimization» more  GECCO 2004»
15 years 4 months ago
Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization
This paper discusses the implementation of local search in evolutionary multiobjective optimization (EMO) algorithms for the design of a simple but powerful memetic EMO algorithm. ...
Hisao Ishibuchi, Kaname Narukawa
GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
15 years 1 months ago
Efficiently evolving programs through the search for novelty
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
Joel Lehman, Kenneth O. Stanley
ESWA
2007
100views more  ESWA 2007»
14 years 10 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
2004
Springer
15 years 4 months ago
Constraint-Based Combinators for Local Search
Abstract. One of the most appealing features of constraint programming is its rich constraint language for expressing combinatorial optimization problems. This paper demonstrates t...
Pascal Van Hentenryck, Laurent Michel, Liyuan Liu
ICC
2007
IEEE
15 years 5 months ago
Turbo Multiuser Detection Based on Local Search Algorithms
—The full-complexity soft-input/soft-output (SISO) multiuser detector based on the a posteriori probability (APP) algorithm has a computational complexity growing exponentially w...
Zhiliang Qin, Kui Cai, Xiaoxin Zou