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GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
13 years 10 months ago
Exploiting gradient information in numerical multi--objective evolutionary optimization
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
Peter A. N. Bosman, Edwin D. de Jong
GECCO
2006
Springer
129views Optimization» more  GECCO 2006»
13 years 8 months ago
Combining gradient techniques for numerical multi-objective evolutionary optimization
Recently, gradient techniques for solving numerical multi
Peter A. N. Bosman, Edwin D. de Jong
EMO
2009
Springer
190views Optimization» more  EMO 2009»
13 years 11 months ago
Solving Bilevel Multi-Objective Optimization Problems Using Evolutionary Algorithms
Abstract. Bilevel optimization problems require every feasible upperlevel solution to satisfy optimality of a lower-level optimization problem. These problems commonly appear in ma...
Kalyanmoy Deb, Ankur Sinha
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
13 years 11 months ago
A new collaborative evolutionary-swarm optimization technique
A new hybrid approach to optimization in dynamical environments called Collaborative Evolutionary-Swarm Optimization (CESO) is presented. CESO tracks moving optima in a dynamical ...
Rodica Ioana Lung, D. Dumitrescu
GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
13 years 6 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...