142 search results - page 1 / 29 » On performance metrics and particle swarm methods for dynami... |
CEC
2007
IEEE
14 years 1 months ago
2007
IEEE
— This paper describes two performance measures for measuring an EMO (Evolutionary Multiobjective Optimization) algorithm’s ability to track a time-varying Paretofront in a dyn...
GECCO
2005
Springer
14 years 28 days 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 8 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...
ICDIM
2007
IEEE
14 years 1 months ago
2007
IEEE
This paper introduces a hybrid metaheuristic, the Variable Neighborhood Particle Swarm Optimization (VNPSO), consisting of a combination of the Variable Neighborhood Search (VNS) ...
CEC
2008
IEEE
14 years 1 months ago
2008
IEEE
— Many optimisation problems are multi-objective and change dynamically. Many methods use a weighted average approach to the multiple objectives. This paper introduces the usage ...