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  • SMPSO
  • Referenced in 27 articles [sw23795]
  • Multi-objective particle swarm optimizers: An experimental comparison. Particle Swarm Optimization (PSO) has received increasing ... Regarding multi-objective optimization, a considerable number of algorithms based on Multi-Objective Particle Swarm...

  • 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...

  • mopsocd
  • Referenced in 2 articles [sw28712]
  • Particle Swarm Optimization with Crowding Distance. A multi-objective optimization solver based on particle swarm...

  • 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 ... added to each particle to enhance the ability of escaping from local optima. Secondly ... advantages in the field of solving multi-objective optimization problems...

  • MOICA
  • Referenced in 1 article [sw08963]
  • genetic algorithm (NSGA-II) and multi-objective particle swarm optimization (MOPSO). Considering the computational time...

  • OPT4J
  • Referenced in 8 articles [sw07054]
  • multi-objective) optimization algorithms such as evolutionary algorithms (including SPEA2 and NSGA2), differential evolution, particle ... swarm optimization, and simulated annealing. The benchmarks that are included comprise ZDT, DTLZ...

  • Neurofitter
  • Referenced in 14 articles [sw09289]
  • power allows scientists to automate this tuning. Optimization algorithms need two essential components. The first ... point comparison of voltage traces and multi-objective functions. We then detail several popular search ... algorithms, evolution strategies, differential evolution and particle-swarm optimization. Last, we shortly describe Neurofitter...

  • ANSYS
  • Referenced in 704 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...

  • Maple
  • Referenced in 5375 articles [sw00545]
  • The result of over 30 years of cutting...

  • Mathematica
  • Referenced in 6360 articles [sw00554]
  • Almost any workflow involves computing results, and that...

  • Matlab
  • Referenced in 13559 articles [sw00558]
  • MATLAB® is a high-level language and interactive...

  • NEWUOA
  • Referenced in 104 articles [sw00618]
  • NEWUOA is a software developped by M.J.D. Powell...

  • Paramils
  • Referenced in 87 articles [sw00678]
  • Paramils: an automatic algorithm configuration framework. The identification...

  • PSPLIB
  • Referenced in 269 articles [sw00740]
  • PSPLIB -- a project scheduling problem library. We present...

  • PSwarm
  • Referenced in 68 articles [sw00742]
  • PSwarm: a hybrid solver for linearly constrained global...

  • R
  • Referenced in 10082 articles [sw00771]
  • R is a language and environment for statistical...