• NiaPy

  • Referenced in 3 articles [sw29033]
  • NiaPy: Python microframework for building nature-inspired algorithms. Nature-inspired algorithms are a very popular ... solving optimization problems. Numerous variants of nature-inspired algorithms have been developed since the beginning ... modified or adapted. However, implementation of nature-inspired algorithms is sometimes a difficult, complex...
  • MPA

  • Referenced in 5 articles [sw41899]
  • Marine Predators Algorithm: A nature-inspired metaheuristic. This paper presents a nature-inspired metaheuristic called...
  • NiaAML

  • Referenced in 1 article [sw38665]
  • machine learning Python framework based on nature-inspired algorithms for optimization. The name comes from ... algorithms and classifiers. The framework uses nature-inspired algorithms for optimization to choose the best ... popular Python collection of nature-inspired algorithms. The NiaAML framework is easy...
  • TLMPA

  • Referenced in 2 articles [sw41898]
  • newly proposed nature-inspired metaheuristic algorithm. The main inspiration of this algorithm is based...
  • MetaheuristicFPA

  • Referenced in 1 article [sw16579]
  • package MetaheuristicFPA. A nature-inspired metaheuristics algorithm based on the pollination process of flowers. This...
  • GEPSO

  • Referenced in 1 article [sw37529]
  • algorithm. Particle Swarm Optimization (PSO) algorithm is a nature-inspired meta-heuristic that has been ... probably more than any other meta-heuristic algorithm. This paper introduces the Generalized Particle Swarm...
  • PeSOA

  • Referenced in 4 articles [sw38287]
  • PeSOA), a new metaheuristic algorithm which is inspired by the foraging behaviours of penguins ... space of potential solutions. The proposed PeSOA algorithm has been validated on a well-known ... functions. Comparative performances with six other nature-inspired metaheuristics show that the PeSOA performs favourably...
  • HiPPSO

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

  • Referenced in 2 articles [sw27208]
  • Java environment for nature-inspired approaches (JENA): a workbench for biocomputing and biomodelling enthusiasts ... growing variety of effective concepts, strategies, and algorithmic techniques adopted from facets of biological information...
  • LS-II

  • Referenced in 1 article [sw31401]
  • Search (LS) algorithm is a swarm-based optimization method inspired in the natural behavior ... considers the inclusion of two distinctive nature-inspired search mechanism, namely, their solitary phase ... paper, a modification to the original LS algorithm, referred to as LS-II, is proposed...
  • EvoCluster

  • Referenced in 1 article [sw42434]
  • most well-known and recent nature-inspired metaheuristic optimizers that are customized to perform partitional ... customizable implementation of the metaheuristic based clustering algorithms which can be utilized by experienced...
  • LGO

  • Referenced in 96 articles [sw00516]
  • The program system LGO serves to solve global...
  • MapReduce

  • Referenced in 263 articles [sw00546]
  • MapReduce is a new parallel programming model initially...
  • Matlab

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

  • Referenced in 233 articles [sw00751]
  • A collection of electronically available data instances for...
  • TSPLIB

  • Referenced in 699 articles [sw00983]
  • TSPLIB is a library of sample instances for...
  • PRISM

  • Referenced in 442 articles [sw01186]
  • PRISM: Probabilistic symbolic model checker. In this paper...
  • EquiLoad

  • Referenced in 12 articles [sw01549]
  • EquiLoad: a load balancing policy for clustered web...
  • UCI-ml

  • Referenced in 3435 articles [sw04074]
  • UC Irvine Machine Learning Repository. We currently maintain...