Results 1 to 20 of 304
Sort by:
-
PlatEMO
- Referenced in 31 articles [sw19824]
- PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization. Over the last three decades ... algorithms have been developed for solving multiobjective optimization problems. However, there lacks ... developed a MATLAB platform for evolutionary multi-objective optimization in this paper, called PlatEMO, which...
-
HypE
- Referenced in 87 articles [sw19794]
- optimization. In the field of evolutionary multi-criterion optimization, the hypervolume indicator is the only ... problems involving a large number of objective functions. However, the high computational effort required ... present HypE, a hypervolume estimation algorithm for multi-objective optimization, by which the accuracy ... objective problems in comparison to existing multi-objective evolutionary algorithms. HypE is available for download...
-
HEMO
- Referenced in 8 articles [sw02403]
- Here an HFC-based Hierarchical Evolutionary Multi-objective Optimization framework (HEMO) is proposed, which ... evolutionary search for difficult multi-modal problems. HEMO makes it possible to do reliable multi ... objective search without risk of premature convergence. The paradigmatic transition of HEMO to handle premature...
-
MONEDA
- Referenced in 5 articles [sw19793]
- significant improvement regarding “standard” multi-objective optimization evolutionary algorithms. Adapting the model-building algorithm ... MOEDAs. This new algorithm is the multi-objective neural estimation of distribution algorithm (MONEDA). MONEDA ... capable of scalably solving continuous multi-objective optimization problems. It performs better than similar algorithms...
-
DEMORS
- Referenced in 8 articles [sw02773]
- DEMORS: A hybrid multi-objective optimization algorithm using differential evolution and rough set theory ... show how the hybridization of a multi-objective evolutionary algorithm (MOEA) and a local search ... 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...
-
DOPGA
- Referenced in 1 article [sw11089]
- fitness assignment scheme for multi-objective evolutionary algorithms. In this article, a new fitness assignment ... evaluate the Pareto-optimal solutions for multi-objective evolutionary algorithms is proposed. The proposed DOmination ... multi-objective problem can be treated as if it were a single-objective problem without ... benchmark evolutionary algorithms (Strength Pareto Evolutionary Algorithm (SPEA) and Strength Pareto Evolutionary Algorithm 2 (SPEA2...
-
MEAPCA
- Referenced in 1 article [sw34793]
- multi-population evolutionary algorithm based on PCA for multi-objective optimization. The simulated binary crossover ... evolution operators (DE) are two most representative evolutionary operators. However, due to their different search ... found to face difficulty on multi-objective optimization problems (MOPs) with rotated Pareto optimal ... This study therefore proposes a multi-population multi-objective evolutionary algorithm based on PCA (MEAPCA...
-
FEMOEA
- Referenced in 3 articles [sw19640]
- objective evolutionary algorithm which can be applied to many nonlinear multi-objective optimization problems ... approximation. It adapts ideas from different multi-objective evolutionary algorithms, but also incorporates new devices ... radius value, which decreases as the optimization procedure evolves. This mechanism helps to maintain...
-
MOMBI
- Referenced in 9 articles [sw40610]
- MOMBI: A new metaheuristic for many-objective optimization based on the R2 indicator. The incorporation ... selection mechanism of a multi-objective evolutionary algorithm (MOEA) is a topic that has attracted ... when solving problems with four or more objectives. The indicator that has been most commonly ... viable alternative for solving many-objective optimization problems...
-
2-Phase NSGA II
- Referenced in 3 articles [sw28524]
- risk measurements algorithm in portfolio optimization. Portfolio optimization is a serious challenge for financial engineering ... special attention among investors. It has two objectives: to maximize the reward that is calculated ... objective evolutionary algorithm (MOEA). In this paper, a new efficient multi-objective portfolio optimization algorithm...