An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
Metaheuristics: a comprehensive overview and classification along with bibliometric analysis
Research in metaheuristics for global optimization problems are currently experiencing an
overload of wide range of available metaheuristic-based solution approaches. Since the …
overload of wide range of available metaheuristic-based solution approaches. Since the …
Comprehensive taxonomies of nature-and bio-inspired optimization: Inspiration versus algorithmic behavior, critical analysis recommendations
In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …
order to efficiently address complex optimization problems. In the last years the number of …
A multi-strategy enhanced African vultures optimization algorithm for global optimization problems
R Zheng, AG Hussien, R Qaddoura… - Journal of …, 2023 - academic.oup.com
The African vultures optimization algorithm (AVOA) is a recently proposed metaheuristic
inspired by the African vultures' behaviors. Though the basic AVOA performs very well for …
inspired by the African vultures' behaviors. Though the basic AVOA performs very well for …
An improved discrete bat algorithm for symmetric and asymmetric traveling salesman problems
Bat algorithm is a population metaheuristic proposed in 2010 which is based on the
echolocation or bio-sonar characteristics of microbats. Since its first implementation, the bat …
echolocation or bio-sonar characteristics of microbats. Since its first implementation, the bat …
Recent advances in harris hawks optimization: A comparative study and applications
The Harris hawk optimizer is a recent population-based metaheuristics algorithm that
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …
[HTML][HTML] A review of metaheuristic algorithms for solving TSP-based scheduling optimization problems
B Toaza, D Esztergár-Kiss - Applied Soft Computing, 2023 - Elsevier
Activity-based scheduling optimization is a combinatorial problem built on the traveling
salesman problem intending to optimize people schedules considering their trips and the …
salesman problem intending to optimize people schedules considering their trips and the …
Solving capacitated vehicle routing problem using cooperative firefly algorithm
AM Altabeeb, AM Mohsen, L Abualigah… - Applied Soft Computing, 2021 - Elsevier
The capacitated vehicle routing problem (CVRP) is a classical combinatorial optimization
problem, which has received much attention due to its main challenges as distribution …
problem, which has received much attention due to its main challenges as distribution …
Ant lion optimization: variants, hybrids, and applications
Ant Lion Optimizer (ALO) is a recent novel algorithm developed in the literature that
simulates the foraging behavior of a Ant lions. Recently, it has been applied to a huge …
simulates the foraging behavior of a Ant lions. Recently, it has been applied to a huge …
[HTML][HTML] A comprehensive review on meta-heuristic algorithms and their classification with novel approach
H Rajabi Moshtaghi, A Toloie Eshlaghy… - Journal of Applied …, 2021 - journal-aprie.com
Conventional and classical optimization methods are not efficient enough to deal with
complicated, NP-hard, high-dimensional, non-linear, and hybrid problems. In recent years …
complicated, NP-hard, high-dimensional, non-linear, and hybrid problems. In recent years …