33 search results - page 2 / 7 » Accelerating convergence towards the optimal pareto front |
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
This paper proposes a method to use reference points as preferences to guide a particle swarm algorithm to search towards preferred regions of the Pareto front. A decision maker c...
EMO
2005
Springer
13 years 10 months ago
2005
Springer
Nearly all Multi-Objective Evolutionary Algorithms (MOEA) rely on random generation of initial population. In large and complex search spaces, this random method often leads to an ...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
In this paper, we present an approach that extends the Particle Swarm Optimization (PSO) algorithm to handle multiobjective optimization problems by incorporating the mechanism of...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
An open problem in multiobjective optimization using the Pareto optimality criteria, is how to evaluate the performance of different evolutionary algorithms that solve multi– o...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
ICSPEA is a novel multi-objective evolutionary algorithm which integrates aspects from the powerful variation operators of the Covariance Matrix Adaptation Evolution Strategy (CMA...