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» Design of Iterated Local Search Algorithms
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CEC
2007
IEEE
14 years 9 months ago
Designing memetic algorithms for real-world applications using self-imposed constraints
— Memetic algorithms (MAs) combine the global exploration abilities of evolutionary algorithms with a local search to further improve the solutions. While a neighborhood can be e...
Thomas Michelitsch, Tobias Wagner, Dirk Biermann, ...
JSW
2006
78views more  JSW 2006»
14 years 9 months ago
Hybrid Genetic Algorithm for Design of Robust Communication Systems
A novel hybrid genetic algorithm (GA) for jointly optimizing source and channel codes is presented in this paper. The algorithm first uses GA for the coarse search of source and ch...
Chien-Min Ou, Jing-Jhih Chen, Wen-Jyi Hwang
EOR
2002
125views more  EOR 2002»
14 years 9 months ago
Genetic local search for multi-objective combinatorial optimization
The paper presents a new genetic local search algorithm for multi-objective combinatorial optimization. The goal of the algorithm is to generate in a short time a set of approxima...
Andrzej Jaszkiewicz
SGAI
2007
Springer
15 years 3 months ago
Escaping Local Optima: Constraint Weights vs. Value Penalties
Constraint Satisfaction Problems can be solved using either iterative improvement or constructive search approaches. Iterative improvement techniques converge quicker than the cons...
Muhammed Basharu, Inés Arana, Hatem Ahriz
FPL
2005
Springer
79views Hardware» more  FPL 2005»
15 years 3 months ago
FPGA-based implementation and comparison of recursive and iterative algorithms
The paper analyses and compares alternative iterative and recursive implementations of FPGA circuits for various problems. Two types of recursive calls have been examined, namely ...
Valery Sklyarov, Iouliia Skliarova, Bruno Figueire...