• PISA

• Referenced in 58 articles [sw01397]
• benchmark problems), selection modules (evolutionary multi-objective optimizers) and modules for performance assessment...

• jMetal

• Referenced in 44 articles [sw09599]
• jMetal: a Java framework for developing multi-objective optimization metaheuristics...

• HypE

• Referenced in 33 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 16 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...

• SHARK

• Referenced in 13 articles [sw13542]
• comprises methods for single- and multi-objective optimization (e.g., evolutionary and gradient-based algorithms...

• 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...

• JCell

• Referenced in 17 articles [sw13353]
• hierarchical populations, anysotropic selection, a novel multi-objective cGA, etc.). The use of JCell ... combinatorial optimization, integer programming, continuous optimization, and multi-objective environments, all this with or without...

• MOPED

• Referenced in 9 articles [sw02388]
• evolutionary multi-objective optimization tool based on an estimation of distribution algorithm is proposed...

• HEMO

• Referenced in 8 articles [sw02403]
• Here an HFC-based Hierarchical Evolutionary Multi-objective Optimization framework (HEMO) is proposed, which ... difficult multi-modal problems. HEMO makes it possible to do reliable multi-objective search without...

• METCO

• Referenced in 5 articles [sw19036]
• parallel plugin-based framework for multi-objective optimization. This paper presents a parallel framework ... solution of multi-objective optimization problems. The framework implements some of the best known multi...

• NSGA-II

• Referenced in 5 articles [sw06582]
• NSGA-II is a very famous multi-objective optimization algorithm. I submitted an example previously ... this can be adopted for any multi-objective optimization...

• 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...

• COMBAT

• Referenced in 4 articles [sw03242]
• Multi-objective combinatorial optimization for selecting best available techniques (BAT) in the industrial sector ... some major pollutants. The developed multi-objective optimization model is addressed using two methods...

• OPT4J

• Referenced in 5 articles [sw07054]
• computation. It contains a set of (multi-objective) optimization algorithms such as evolutionary algorithms (including...

• mlr

• Referenced in 16 articles [sw12357]
• Hyperparameter tuning with modern optimization techniques, for single- and multi-objective problems. Filter and wrapper...

• 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...