• GSA

  • Referenced in 128 articles [sw40815]
  • gravitational search algorithm. In recent years, various heuristic optimization methods have been developed. Many ... inspired by swarm behaviors in nature. In this paper, a new optimization algorithm based...
  • AntHocNet

  • Referenced in 14 articles [sw28057]
  • AntHocNet: an adaptive natureinspired algorithm for routing in mobile ad hoc networks. In this ... algorithm for routing in mobile ad hoc networks. It is a hybrid algorithm, which combines ... maintenance and improvement. The algorithm is based on the natureinspired ant colony optimisation framework ... compare AntHocNet with AODV, a reference algorithm in the field. We show that our algorithm...
  • GWO

  • Referenced in 96 articles [sw40816]
  • Wolf Optimizer (GWO) inspired by grey wolves (Canis lupus). The GWO algorithm mimics the leadership ... hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha...
  • 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 ... Marine Predators Algorithm (MPA) and its application in engineering. The main inspiration ... prey. MPA follows the rules that naturally govern in optimal foraging strategy and encounters rate ... almost recently developed algorithms and (3) CMA-ES, SHADE and LSHADE-cnEpSin as high performance...
  • 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...
  • MCPSO

  • Referenced in 17 articles [sw30149]
  • particle swarm optimizer, inspired by the phenomenon of symbiosis in natural ecosystems. MCPSO is based ... performed, and the performances of the proposed algorithms are compared with the standard PSO (SPSO...
  • TLMPA

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

  • Referenced in 7 articles [sw40591]
  • ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing. With ... fast yet accurate algorithm for compressive sensing (CS) reconstruction of natural images, we combine ... ISTA-Net, which is inspired by the Iterative Shrinkage-Thresholding Algorithm (ISTA) for optimizing ... crafted. Moreover, considering that the residuals of natural images are more compressible, an enhanced version...
  • 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...
  • Wasp

  • Referenced in 1 article [sw27053]
  • wasp colony in nature for designing a robust bio-inspired algorithm and in the sequel...
  • 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...
  • Aquila optimizer

  • Referenced in 2 articles [sw40380]
  • method, which is inspired by the Aquila’s behaviors in nature during the process ... Aquila Optimizer: A novel meta-heuristic optimization Algorithm, Computers & Industrial Engineering (2021), doi: https://doi.org...
  • HiPPSO

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

  • Referenced in 2 articles [sw41902]
  • applications. A new bio-inspired optimization algorithm called artificial hummingbird algorithm (AHA) is proposed ... algorithm simulates the special flight skills and intelligent foraging strategies of hummingbirds in nature. Three...
  • MiningZinc

  • Referenced in 4 articles [sw19070]
  • MiningZinc language allows for high-level and natural modeling of mining problems, so that MiningZinc ... definitions used in the literature. It is inspired by the Zinc family of languages ... solve subproblems using specialized data mining algorithms or generic constraint programming solvers. Given a model...
  • FLAR

  • Referenced in 2 articles [sw02755]
  • ants. Swarm intelligence, as demonstrated by a natural biological swarm, such as an ant colony ... algorithm that we are calling Fuzzy Logic Ant-based Routing (FLAR), which is inspired...