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» A hybrid immune multiobjective optimization algorithm
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HAIS
2009
Springer
14 years 7 days ago
Automatic Clustering Using a Synergy of Genetic Algorithm and Multi-objective Differential Evolution
— This paper applies the Differential Evolution (DE) and Genetic Algorithm (GA) to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It com...
Debarati Kundu, Kaushik Suresh, Sayan Ghosh, Swaga...
EUSFLAT
2003
174views Fuzzy Logic» more  EUSFLAT 2003»
13 years 9 months ago
Evolvable fuzzy controllers using parallel evolutionary algorithms
We are trying to piece together the knowledge of evolution with the help of biology, informatics and physics to create complex evolutionary algorithms with parallel and hierarchic...
Pavel Osmera
CEC
2008
IEEE
14 years 2 months ago
An investigation on evolutionary gradient search for multi-objective optimization
—Evolutionary gradient search is a hybrid algorithm that exploits the complementary features of gradient search and evolutionary algorithm to achieve a level of efficiency and r...
Chi Keong Goh, Yew-Soon Ong, Kay Chen Tan, Eu Jin ...
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
13 years 11 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
2008
Springer
131views Optimization» more  GECCO 2008»
13 years 8 months ago
A new memetic strategy for the numerical treatment of multi-objective optimization problems
In this paper we propose a novel iterative search procedure for multi-objective optimization problems. The iteration process – though derivative free – utilizes the geometry o...
Oliver Schütze, Gustavo Sanchez, Carlos A. Co...