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» Multiobjective optimization for dynamic environments
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EC
2000
96views ECommerce» more  EC 2000»
14 years 11 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»
14 years 11 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»
15 years 12 days ago
A multi-objective ant colony approach for pareto-optimization using dynamic programming
Sascha Häckel, Marco Fischer, David Zechel, T...
CEC
2008
IEEE
15 years 5 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»
15 years 3 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