
GWO
 Referenced in 96 articles
[sw40816]
 Optimizer. This work proposes a new metaheuristic called Grey Wolf Optimizer (GWO) inspired ... results compared to these wellknown metaheuristics. The paper also considers solving three classical...

COMET
 Referenced in 80 articles
[sw03051]
 overview of local search including neighborhoods, heuristics, and metaheuristics, the book presents the architecture ... variety of applications, arranged by metaheuristics. It presents scheduling applications, along with the background...

POPMUSIC
 Referenced in 25 articles
[sw20508]
 conditions. This article introduces POPMUSIC, a metaheuristic that has been successfully applied to various...

FANT
 Referenced in 11 articles
[sw10091]
 Then, we present FANT, a new metaheuristic based on ant systems. The technique ... competitive with other implementations using various metaheuristics...

AdequacyModel
 Referenced in 12 articles
[sw15282]
 general purpose optimization method based on metaheuristics functions for maximizing or minimizing an arbitrary...

NSPLib
 Referenced in 8 articles
[sw11952]
 researchers have developed (meta)heuristic procedures to solve a NSP instance heuristically in an acceptable ... stop criterion to evaluate and compare metaheuristic procedures for the NSP. Finally, we propose...

OPT4J
 Referenced in 8 articles
[sw07054]
 well as the implementation of arbitrary metaheuristic optimization algorithms. For this purpose, Opt4J relies...

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

GAHC
 Referenced in 6 articles
[sw02734]
 class of well established optimization metaheuristics and their behavior are studied and analyzed...

FIRBS
 Referenced in 6 articles
[sw06572]
 drawbacks of this metaheuristic is related to the need of tuning some parameter (like...

ADATE
 Referenced in 3 articles
[sw02854]
 Generating metaheuristic optimization code using ADATE. Local Search based metaheuristic methods for finding ... with stateoftheart handcrafted metaheuristic optimization code. In particular, the programs generated ... insights into the general design of metaheuristic mechanisms, and contains novel search mechanisms...

CBO
 Referenced in 3 articles
[sw12510]
 presents and applies a novel efficient metaheuristic optimization algorithm called colliding bodies optimization ... setting it apart from previously developed metaheuristics. This algorithm is enhanced (ECBO) for more...

Localizer++
 Referenced in 4 articles
[sw20670]
 constructs to specify local moves and metaheuristics. It also supports a variety of features...

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

GEPSO
 Referenced in 1 article
[sw37529]
 algorithm is a natureinspired metaheuristic that has been utilized as a powerful optimization ... variants, probably more than any other metaheuristic algorithm. This paper introduces the Generalized Particle ... Also, since parameters of heuristic and metaheuristic algorithms have a significant influence on their...

Opytimizer
 Referenced in 1 article
[sw31846]
 Recent biologicalinspired methods, known as metaheuristics, have arisen in an attempt to fulfill ... paper, we proposed a Pythonbased metaheuristic optimization framework denoted as Opytimizer. Several methods ... userfriendly workspace among diverse metaheuristics, ranging from evolutionary to swarmbased techniques...

INCOP
 Referenced in 2 articles
[sw00441]
 easily implement most of the existing metaheuristics. Second, different levels of incrementality...

PMax
 Referenced in 2 articles
[sw11226]
 complete. Therefore, we devise a metaheuristic, called {it Tabu Select and Greedily Allocate} (TSGA...

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

DHLO
 Referenced in 1 article
[sw18810]
 Optimization is a simple but efficient metaheuristic algorithm in which three learning operators ... well as the other eight metaheuristics, i.e. the Binary Differential Evolution, Simplified Binary Artificial...