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EC
2000
96views ECommerce» more  EC 2000»
13 years 9 months ago
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Solving optimization problems with multiple (often conflicting) objectives is, generally, a very difficult goal. Evolutionary algorithms (EAs) were initially extended and applied ...
David A. van Veldhuizen, Gary B. Lamont
SIAMCO
2008
83views more  SIAMCO 2008»
13 years 9 months ago
Necessary Conditions for Multiobjective Optimal Control Problems with Free End-Time
Abstract. Necessary conditions of optimality are derived for multiobjective optimal control problems with free end-time, in which the dynamics constraint is modeled as a nonconvex ...
B. T. Kien, N.-C. Wong, J. C. Yao
GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
13 years 11 months ago
A multi-objective ant colony approach for pareto-optimization using dynamic programming
Sascha Häckel, Marco Fischer, David Zechel, T...
CEC
2008
IEEE
14 years 4 months ago
Dynamic adaptation and multiobjective concepts in a particle swarm optimizer for constrained optimization
— In this paper, we propose a novel approach to solve constrained optimization problems based on particle swarm optimization (PSO). First, an empirical comparison of the most pop...
Jorge Isacc Flores-Mendoza, Efrén Mezura-Mo...
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
14 years 1 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace