• GWO

  • Referenced in 104 articles [sw40816]
  • Optimizer. This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) inspired ... grey wolves (Canis lupus). The GWO algorithm mimics the leadership hierarchy and hunting mechanism ... prey, and attacking prey, are implemented. The algorithm is then benchmarked on 29 well-known ... algorithm is able to provide very competitive results compared to these well-known meta-heuristics...
  • OPT4J

  • Referenced in 8 articles [sw07054]
  • multi-objective) optimization algorithms such as evolutionary algorithms (including SPEA2 and NSGA2), differential evolution, particle ... implementation of arbitrary meta-heuristic optimization algorithms. For this purpose, Opt4J relies on a module...
  • AOA

  • Referenced in 8 articles [sw41903]
  • work proposes a new meta-heuristic method called Arithmetic Optimization Algorithm (AOA) that utilizes...
  • Chameleon Swarm

  • Referenced in 2 articles [sw42108]
  • Chameleon Swarm Algorithm: A bio-inspired optimizer for solving engineering design ... problems. This paper presents a novel meta-heuristic algorithm named Chameleon Swarm Algorithm ... efficacy of CSA over other meta-heuristic algorithms in terms of optimization accuracy. The applicability ... better performance compared to other meta-heuristics...
  • CBO

  • Referenced in 3 articles [sw12510]
  • applies a novel efficient meta-heuristic optimization algorithm called colliding bodies optimization (CBO) for various ... constructional management are also included. This algorithm is based on one-dimensional collisions between bodies ... apart from previously developed meta-heuristics. This algorithm is enhanced (ECBO) for more efficient applications...
  • Aquila optimizer

  • Referenced in 2 articles [sw40380]
  • Aquila Optimizer: A meta-heuristic optimization algorithm. Aquila Optimizer (AO) is a novel population-based ... Aquila Optimizer: A novel meta-heuristic optimization Algorithm, Computers & Industrial Engineering (2021), doi: https://doi.org...
  • AHA

  • Referenced in 2 articles [sw41902]
  • more competitive than other meta-heuristic algorithms and determine high-quality solutions with fewer control...
  • GEPSO

  • Referenced in 1 article [sw37529]
  • Particle Swarm Optimization (PSO) algorithm is a nature-inspired meta-heuristic that has been utilized ... variants, probably more than any other meta-heuristic algorithm. This paper introduces the Generalized Particle ... version of the PSO algorithm for continuous space optimization, which enriches the original ... Also, since parameters of heuristic and meta-heuristic algorithms have a significant influence on their...
  • DHLO

  • Referenced in 1 article [sw18810]
  • Optimization is a simple but efficient meta-heuristic algorithm in which three learning operators ... paper proposes a Diverse Human Learning Optimization algorithm (DHLO), into which the Gaussian distribution ... abilities of DHLO, the robustness of the algorithm is strengthened. In addition, by cooperating with ... eight meta-heuristics, i.e. the Binary Differential Evolution, Simplified Binary Artificial Fish Swarm Algorithm, Adaptive...
  • MOMPA

  • Referenced in 1 article [sw40362]
  • state-of-the-art multi-objective meta-heuristics algorithms. In addition, seven multi-objective engineering...
  • FC-TLBO

  • Referenced in 1 article [sw22855]
  • TLBO: fully constrained meta-heuristic algorithm for abundance estimation using linear mixing model. A study...
  • ICAOD

  • Referenced in 2 articles [sw16271]
  • equivalence theorem. ICA is a meta-heuristic evolutionary algorithm inspired from the socio-political process...
  • GAHC

  • Referenced in 6 articles [sw02734]
  • Genetic Algorithms (GA) belong to a class of well established optimization meta-heuristics and their ... usually change the overall behavior of the algorithm. This paper presents a binary GA with...
  • FIRBS

  • Referenced in 6 articles [sw06572]
  • drawbacks of this meta-heuristic is related to the need of tuning some parameter (like ... whose value affects the performance of the algorithm. The importance of developing an automatic procedure...
  • popt4jlib

  • Referenced in 1 article [sw30640]
  • fairly large number of meta-heuristic and other exact optimization algorithms parallel/distributed Java implementations. Although...
  • Localizer++

  • Referenced in 4 articles [sw20670]
  • design and implementation of local search algorithms. This paper introduces Localizer++, an extensible object-oriented ... constructs to specify local moves and meta-heuristics. It also supports a variety of features...
  • HiPPSO

  • Referenced in 1 article [sw32411]
  • Optimization Algorithm (HiPPSO) . Particle Swarm Optimization (PSO) is a nature-inspired meta-heuristic adaptable...
  • INCOP

  • Referenced in 2 articles [sw00441]
  • library. The user can easily add new algorithms and encode new problems. The neighborhood management ... easily implement most of the existing meta-heuristics. Second, different levels of incrementality ... first time by a standard Metropolis algorithm...
  • EOlib

  • Referenced in 19 articles [sw00239]
  • EO is a template-based, ANSI-C++ evolutionary...