• 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...
  • PlatEMO

  • Referenced in 2 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...
  • FEMOEA

  • Referenced in 2 articles [sw19640]
  • applied to many nonlinear multi-objective optimization problems is proposed. Its aim is to quickly ... 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...
  • AIDA-CMK

  • Referenced in 1 article [sw11524]
  • AIDA, with a new multi-objective multi-constraint optimization module that constructs a base ... solution implements three approaches to multi-objective multi-constraint optimization, namely, an evolutionary approach with ... single and multi-kernel algorithms.The three multi-objective optimization approaches were validated with CEC2009 benchmarks ... constrained multi-objective optimization and tested with real analog IC design problems. The achieved results...
  • BMOBench

  • Referenced in 1 article [sw15106]
  • Black-Box Multi-Objective Optimization Benchmarking (BMOB) Platform. The aim of this platform ... /consolidate/ black-box multi-objectives problems from the literature into a single framework; which makes ... easier for researchers in the Multi-Objective Optimization community to compare, assess, and analyze previous ... established problems from the multi-objective optimization community and automatically get the experiments results...
  • smoof

  • Referenced in 2 articles [sw19217]
  • package smoof: Single and Multi-Objective Optimization Test Functions. Provides generators for a high number...
  • MOPSO-II

  • Referenced in 1 article [sw10469]
  • improved multi-objective particle swarm optimization algorithm --- MOPSO-II. This paper proposes an improved multi ... objective particle swarm optimization algorithm (MOPSO-II for short). In this algorithm, a disturbance vector ... advantages in the field of solving multi-objective optimization problems...
  • mopsocd

  • Referenced in 1 article [sw28712]
  • Swarm Optimization with Crowding Distance. A multi-objective optimization solver based on particle swarm optimization...
  • GPareto

  • Referenced in 1 article [sw28711]
  • Kriging models, are applied to global multi-objective optimization of black-box functions. Multi-objective...
  • ER-fMRI

  • Referenced in 1 article [sw25579]
  • Multi-Objective Optimal Experimental Designs for ER-fMRI Using MATLAB. Designs for event-related functional...
  • Guimoo

  • Referenced in 1 article [sw04157]
  • Guimoo: Graphical User Interface for Multi Objective Optimization Guimoo is a free software dedicated ... analysis of results in multi-objective optimization Its main features enable : The on-line visualization...
  • MOOP

  • Referenced in 1 article [sw21689]
  • Software package for multi-objective optimal design of electromagnetic devices. Resistive, capacitive and inductive parasitic...
  • EuGene

  • Referenced in 1 article [sw28666]
  • software application, EuGene, was developed for the optimization of multiple gene synthetic design algorithms ... analyzing and redesigning gene sequences using multi-objective optimization techniques that maximize the coding features...
  • AIDA-C

  • Referenced in 1 article [sw11523]
  • supported by state-of-the-art multi-objective optimization kernels, where the robustness...
  • MATEDA

  • Referenced in 4 articles [sw07769]
  • package allows the optimization of single and multi-objective problems with estimation of distribution algorithms...
  • HMOFA

  • Referenced in 0 articles [sw26342]
  • necessary to develop some novel multi-objective optimization algorithms to cope with the complicated multi ... objective optimization problems which are emerging and increasingly hard in reality. The basic firefly algorithm ... extended to the realm of multi-objective optimization, and a hybrid multi-objective firefly algorithm...
  • GDE3

  • Referenced in 19 articles [sw18883]
  • evolution (DE) for global optimization with an arbitrary number of objectives and constraints ... case of a problem with a single objective and without constraints GDE3 falls back ... earlier GDE versions in the case of multi-objective problems by giving a better distributed...
  • Borg

  • Referenced in 6 articles [sw08873]
  • Borg multi-objective evolutionary algorithm (MOEA) for many-objective, multimodal optimization. The Borg MOEA combines...
  • DOPGA

  • Referenced in 1 article [sw11089]
  • fitness assignment scheme for multi-objective evolutionary algorithms. In this article, a new fitness assignment ... scheme to evaluate the Pareto-optimal solutions for multi-objective evolutionary algorithms is proposed ... multi-objective problem can be treated as if it were a single-objective problem without ... SPEA2)) on 12 unconstrained bi-objective and one tri-objective test problems. DOPGA significantly outperforms...