33 search results - page 3 / 7 » Accelerating convergence towards the optimal pareto front |
GECCO
2005
Springer
13 years 11 months ago
2005
Springer
This paper is concerned with a specific brand of evolutionary algorithms: Memetic algorithms. A new local search technique with an adaptive neighborhood setting process is introdu...
EMO
2001
Springer
13 years 10 months ago
2001
Springer
We compare two multiobjective evolutionary algorithms, with deterministic gradient based optimization methods for the dose optimization problem in high-dose rate (HDR) brachythera...
CEC
2010
IEEE
13 years 6 months ago
2010
IEEE
Many-objective problems are difficult to solve using conventional multi-objective evolutionary algorithms (MOEAs) as these algorithms rely primarily on Pareto ranking to guide the ...
GECCO
2004
Springer
13 years 11 months ago
2004
Springer
Generating manipulator trajectories considering multiple objectives and obstacle avoidance is a non trivial optimization problem. In this paper a multiobjective genetic algorithm i...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
In multiobjective particle swarm optimization (MOPSO) methods, selecting the local best and the global best for each particle of the population has a great impact on the convergen...