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 …
Task scheduling in cloud computing based on meta-heuristics: review, taxonomy, open challenges, and future trends
Cloud computing is a recently looming-evoked paradigm, the aim of which is to provide on-
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …
Sand Cat swarm optimization: A nature-inspired algorithm to solve global optimization problems
A Seyyedabbasi, F Kiani - Engineering with Computers, 2023 - Springer
This study proposes a new metaheuristic algorithm called sand cat swarm optimization
(SCSO) which mimics the sand cat behavior that tries to survive in nature. These cats are …
(SCSO) which mimics the sand cat behavior that tries to survive in nature. These cats are …
Fire Hawk Optimizer: A novel metaheuristic algorithm
This study proposes the Fire Hawk Optimizer (FHO) as a novel metaheuristic algorithm
based on the foraging behavior of whistling kites, black kites and brown falcons. These birds …
based on the foraging behavior of whistling kites, black kites and brown falcons. These birds …
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 …
Atomic orbital search: A novel metaheuristic algorithm
M Azizi - Applied Mathematical Modelling, 2021 - Elsevier
In this paper, the Atomic Orbital Search (AOS) is proposed as a novel metaheuristic
algorithm for optimization purposes. The main concept of this algorithm is based on some …
algorithm for optimization purposes. The main concept of this algorithm is based on some …
Metaheuristic research: a comprehensive survey
Because of successful implementations and high intensity, metaheuristic research has been
extensively reported in literature, which covers algorithms, applications, comparisons, and …
extensively reported in literature, which covers algorithms, applications, comparisons, and …
An intensify Harris Hawks optimizer for numerical and engineering optimization problems
Abstract Recently developed Harris Hawks Optimization has virtuous behavior for finding
optimum solution in search space. However, it easily get trapped into local search space for …
optimum solution in search space. However, it easily get trapped into local search space for …
Advanced metaheuristic optimization techniques in applications of deep neural networks: a review
Deep neural networks (DNNs) have evolved as a beneficial machine learning method that
has been successfully used in various applications. Currently, DNN is a superior technique …
has been successfully used in various applications. Currently, DNN is a superior technique …
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 …