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CEC
2008
IEEE
14 years 5 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
216views Optimization» more  GECCO 2006»
14 years 2 months ago
Comparative analysis of the sailor assignment problem
In this work the performance of several local search and metaheuristic methods is compared to previously reported work using evolutionary algorithms. The results show that while m...
Joseph Vannucci, Deon Garrett, Dipankar Dasgupta
MEMETIC
2010
311views more  MEMETIC 2010»
13 years 6 months ago
Iterated local search with Powell's method: a memetic algorithm for continuous global optimization
In combinatorial solution spaces Iterated Local Search (ILS) turns out to be exceptionally successful. The question arises: is ILS also capable of improving the optimization proces...
Oliver Kramer
IPL
2008
131views more  IPL 2008»
13 years 11 months ago
Ant colony optimization with partial order reduction for discovering safety property violations in concurrent models
In this article we analyze the combination of ACOhg, a new metaheuristic algorithm, plus partial order reduction applied to the problem of finding safety property violations in co...
J. Francisco Chicano, Enrique Alba
EC
2008
146views ECommerce» more  EC 2008»
13 years 11 months ago
Automated Discovery of Local Search Heuristics for Satisfiability Testing
The development of successful metaheuristic algorithms such as local search for a difficult problems such as satisfiability testing (SAT) is a challenging task. We investigate an ...
Alex S. Fukunaga