• LGMS-FOA

  • Referenced in 7 articles [sw31875]
  • LGMS-FOA with FOA and other metaheuristics show that LGMS-FOA can greatly enhance...
  • VNDS

  • Referenced in 6 articles [sw07586]
  • modularity. We apply the variable nighborhood search metaheuristic to that problem. Computational results are reported...
  • LPAm+

  • Referenced in 6 articles [sw07587]
  • modularity. We apply the variable nighborhood search metaheuristic to that problem. Computational results are reported...
  • GOP

  • Referenced in 6 articles [sw17432]
  • optimization algorithms. We introduce a novel metaheuristic methodology to improve the initialization of a given...
  • PeSOA

  • Referenced in 4 articles [sw38287]
  • Penguin search Optimisation Algorithm (PeSOA), a new metaheuristic algorithm which is inspired by the foraging ... Comparative performances with six other nature-inspired metaheuristics show that the PeSOA performs favourably...
  • jMetalPy

  • Referenced in 3 articles [sw39831]
  • Python Framework for Multi-Objective Optimization with Metaheuristics. This paper describes jMetalPy, an object-oriented ... based framework for multi-objective optimization with metaheuristic techniques. Building upon our experiences with ... optimization problems focused not only on traditional metaheuristics, but also on techniques supporting preference articulation...
  • GGSA

  • Referenced in 5 articles [sw18531]
  • Algorithm (GSA) is a stochastic population-based metaheuristic designed for solving continuous optimization problems...
  • automl

  • Referenced in 3 articles [sw32865]
  • package automl: Deep Learning with Metaheuristic. Fits from simple regression to highly customizable deep neural ... networks either with gradient descent or metaheuristic, using automatic hyper parameters tuning and custom cost...
  • PMF

  • Referenced in 2 articles [sw07061]
  • design and implementation of the Parallel Metaheuristics Framework (PMF), a C++ framework for the construction ... single and multiobjective metaheuristics utilizing Intel’s Threading Building Blocks library to allow easy parallelization ... generic approach to the construction of metaheuristics, striving to provide a general representation of core ... case study for implementing a simple metaheuristic within the system, and discusses a range...
  • jMetalCpp

  • Referenced in 2 articles [sw34556]
  • optimizing molecular docking problems with a C++ metaheuristic framework. Motivation: Molecular docking is a method ... this purpose is AutoDock, which incorporates three metaheuristic techniques. We propose the integration of AutoDock ... former to easily use the metaheuristics provided by the latter. In this way, biologists have ... already provided in AutoDock. Moreover, designers of metaheuristic techniques can use molecular docking for case...
  • DSLC-FOA

  • Referenced in 4 articles [sw31874]
  • superior to the basic FOA and other metaheuristic or deterministic methods...
  • MOMHLib++

  • Referenced in 2 articles [sw04708]
  • MOMHLib++ (Multiple Objective MetaHeuristics Library in C++) is a library of C++ classes that implements ... number of multiple objective metaheuristics. It has been developed on the basis of former implementations...
  • MOOPPS

  • Referenced in 2 articles [sw20345]
  • possible by a set of implemented metaheuristics. Necessary control parameters can easily be adjusted ... driven. This allows the comparison of different metaheuristic algorithms for the considered problem instances. Results...
  • HydroGen

  • Referenced in 2 articles [sw26156]
  • artificial water distribution network generator. Many (metaheuristic) techniques for water distribution network (WDN) design optimisation ... library of realistic test networks on which (metaheuristic) methods for the optimisation of WDN design...
  • GPUBasedACS

  • Referenced in 3 articles [sw25558]
  • System (MMAS), one of the most efficient metaheuristic algorithms inspired by the behavior of ants...
  • HC-ACO

  • Referenced in 3 articles [sw27052]
  • Optimization (ACO) [2] is a recently proposed metaheuristic approach for solving hard combinatorial optimization problems...
  • PyBioNetFit

  • Referenced in 3 articles [sw34668]
  • SBML). PyBioNetFit offers a suite of parallelized metaheuristic algorithms (differential evolution, particle swarm optimization, scatter...
  • DRSCRO

  • Referenced in 1 article [sw25692]
  • DRSCRO: A metaheuristic algorithm for task scheduling on heterogeneous systems. An efficient DAG task scheduling ... complete. A recently proposed metaheuristic method, Chemical Reaction Optimization (CRO), demonstrates its capability for solving ... molecule selection phase, the CRO as a metaheuristic algorithm is adopted to obtain a super...
  • MEFISTO

  • Referenced in 2 articles [sw01082]
  • MEFISTO: A pragmatic metaheuristic framework for adaptive search with a special application to pickup...
  • libcgrpp

  • Referenced in 2 articles [sw07205]
  • GRASP is an extension of the GRASP metaheuristic (Feo and Resende, 1989) and has been...