
GWO
 Referenced in 104 articles
[sw40816]
 Optimizer. This work proposes a new metaheuristic 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 wellknown ... algorithm is able to provide very competitive results compared to these wellknown metaheuristics...

OPT4J
 Referenced in 8 articles
[sw07054]
 multiobjective) optimization algorithms such as evolutionary algorithms (including SPEA2 and NSGA2), differential evolution, particle ... implementation of arbitrary metaheuristic optimization algorithms. For this purpose, Opt4J relies on a module...

AOA
 Referenced in 8 articles
[sw41903]
 work proposes a new metaheuristic method called Arithmetic Optimization Algorithm (AOA) that utilizes...

Chameleon Swarm
 Referenced in 2 articles
[sw42108]
 Chameleon Swarm Algorithm: A bioinspired optimizer for solving engineering design ... problems. This paper presents a novel metaheuristic algorithm named Chameleon Swarm Algorithm ... efficacy of CSA over other metaheuristic algorithms in terms of optimization accuracy. The applicability ... better performance compared to other metaheuristics...

CBO
 Referenced in 3 articles
[sw12510]
 applies a novel efficient metaheuristic optimization algorithm called colliding bodies optimization (CBO) for various ... constructional management are also included. This algorithm is based on onedimensional collisions between bodies ... apart from previously developed metaheuristics. This algorithm is enhanced (ECBO) for more efficient applications...

Aquila optimizer
 Referenced in 2 articles
[sw40380]
 Aquila Optimizer: A metaheuristic optimization algorithm. Aquila Optimizer (AO) is a novel populationbased ... Aquila Optimizer: A novel metaheuristic optimization Algorithm, Computers & Industrial Engineering (2021), doi: https://doi.org...

AHA
 Referenced in 2 articles
[sw41902]
 more competitive than other metaheuristic algorithms and determine highquality solutions with fewer control...

GEPSO
 Referenced in 1 article
[sw37529]
 Particle Swarm Optimization (PSO) algorithm is a natureinspired metaheuristic that has been utilized ... variants, probably more than any other metaheuristic 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 metaheuristic algorithms have a significant influence on their...

DHLO
 Referenced in 1 article
[sw18810]
 Optimization is a simple but efficient metaheuristic 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 metaheuristics, i.e. the Binary Differential Evolution, Simplified Binary Artificial Fish Swarm Algorithm, Adaptive...

MOMPA
 Referenced in 1 article
[sw40362]
 stateoftheart multiobjective metaheuristics algorithms. In addition, seven multiobjective engineering...

FCTLBO
 Referenced in 1 article
[sw22855]
 TLBO: fully constrained metaheuristic algorithm for abundance estimation using linear mixing model. A study...

ICAOD
 Referenced in 2 articles
[sw16271]
 equivalence theorem. ICA is a metaheuristic evolutionary algorithm inspired from the sociopolitical process...

GAHC
 Referenced in 6 articles
[sw02734]
 Genetic Algorithms (GA) belong to a class of well established optimization metaheuristics 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 metaheuristic 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 metaheuristic 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 objectoriented ... constructs to specify local moves and metaheuristics. It also supports a variety of features...

HiPPSO
 Referenced in 1 article
[sw32411]
 Optimization Algorithm (HiPPSO) . Particle Swarm Optimization (PSO) is a natureinspired metaheuristic 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 metaheuristics. Second, different levels of incrementality ... first time by a standard Metropolis algorithm...

EOlib
 Referenced in 19 articles
[sw00239]
 EO is a templatebased, ANSIC++ evolutionary...