Results 1 to 20 of 334
Sort by:
-
HypE
- Referenced in 29 articles [sw19794]
- optimization. In the field of evolutionary multi-criterion optimization, the hypervolume indicator is the only ... HypE, a hypervolume estimation algorithm for multi-objective optimization, by which the accuracy ... statistically compare the outcomes of different multi-objective optimizers with respect to the hypervolume ... many-objective problems in comparison to existing multi-objective evolutionary algorithms. HypE is available...
-
SMPSO
- Referenced in 14 articles [sw23795]
- Multi-objective particle swarm optimizers: An experimental comparison. Particle Swarm Optimization (PSO) has received increasing ... appearance in the mid-1990s. Regarding multi-objective optimization, a considerable number of algorithms based ... Multi-Objective Particle Swarm Optimizers (MOPSOs) can be found in the specialized literature. Unfortunately...
-
DEMORS
- Referenced in 7 articles [sw02773]
- DEMORS: A hybrid multi-objective optimization algorithm using differential evolution and rough set theory ... algorithm able to solve difficult constrained multi-objective optimization problems at a moderate computational cost ... which was limited to unconstrained multi-objective optimization problems. Here, the main idea ... Pareto front of a constrained multi-objective optimization problem while performing a relatively low number...
-
MONEDA
- Referenced in 3 articles [sw19793]
- MONEDA: scalable multi-objective optimization with a neural network-based estimation of distribution algorithm ... multi-objective domain has led to multi-objective optimization EDAs (MOEDAs). Most MOEDAs have limited ... significant improvement regarding “standard” multi-objective optimization evolutionary algorithms. Adapting the model-building algorithm ... capable of scalably solving continuous multi-objective optimization problems. It performs better than similar algorithms...
-
UNDX
- Referenced in 3 articles [sw03438]
- capability of global optimization and multi-objective optimization against two serious problems in conventional lens ... lens design problem as a multi-objective optimization problem, we propose a real-coded multi ... objective GA that explicitly optimizes tbe two criteria, the resolution and the distortion. We show ... proposed method in multi-objective lens optimization by applying it to a three-element lens...
-
EMOPSO
- Referenced in 4 articles [sw14001]
- EMOPSO: a multi-objective particle swarm optimizer with emphasis on efficiency. This paper presents ... Efficient Multi-Objective Particle Swarm Optimizer (EMOPSO), which is an improved version of a multi ... reported so far for any multi-objective particle swarm optimizer. Our results are compared with...
-
D2MOPSO
- Referenced in 4 articles [sw09958]
- MOPSO: Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance. D 2 MOPSO ... multi-objective particle swarm optimizer that incorporates the dominance concept with the decomposition approach. Whilst ... decomposition simplifies the multi-objective problem (MOP) by rewriting it as a set of aggregation...
-
modeFrontier
- Referenced in 10 articles [sw08526]
- integration platform for multi-objective and multi-disciplinary optimization. It provides a seamless coupling with...
-
DCMOGADES
- Referenced in 2 articles [sw02761]
- DCMOGADES: Distributed cooperation model of multi-objective genetic algorithm with distributed scheme To find design ... maximize values of objective functions is called an optimization problem. Optimization problems are often found ... objectives. These optimization problems are called multi-objective optimization problems. Usually, since there ... goals of multi-objective optimization problems. Genetic Algorithm (GA) that simulates species’ heredity and evolution...