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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 …
Nature inspired techniques and applications in intrusion detection systems: Recent progress and updated perspective
Nowadays, it has become a necessity for operational and reliable operation of networks due
to our increased dependency over the network services. However, intruders are …
to our increased dependency over the network services. However, intruders are …
A survey on nature-inspired optimization algorithms and their application in image enhancement domain
In the field of image processing, there are several problems where the efficient search has to
be performed in complex search domain to find an optimal solution. Image enhancement …
be performed in complex search domain to find an optimal solution. Image enhancement …
Nature-inspired optimization algorithms and their application in multi-thresholding image segmentation
In the field of image processing, there are several problems where an efficient search of the
solutions has to be performed within a complex search domain to find an optimal solution …
solutions has to be performed within a complex search domain to find an optimal solution …
Swarm robotics search & rescue: A novel artificial intelligence-inspired optimization approach
In this paper, a novel heuristic algorithm is proposed to solve continuous non-linear
optimization problems. The presented algorithm is a collective global search inspired by the …
optimization problems. The presented algorithm is a collective global search inspired by the …
Quasi-Oppositional Swine Influenza Model Based Optimization with Quarantine for optimal allocation of DG in radial distribution network
Abstract Optimal allocation of Distributed Generations (DGs) is one of the major problems of
distribution utilities. Optimum locations and sizes of DG sources have profoundly created …
distribution utilities. Optimum locations and sizes of DG sources have profoundly created …
A quasi-oppositional-chaotic symbiotic organisms search algorithm for global optimization problems
This study proposes an improved version of the Symbiotic Organisms Search (SOS)
algorithm called Quasi-Oppositional Chaotic Symbiotic Organisms Search (QOCSOS). This …
algorithm called Quasi-Oppositional Chaotic Symbiotic Organisms Search (QOCSOS). This …
Nature-inspired algorithms from oceans to space: A comprehensive review of heuristic and meta-heuristic optimization algorithms and their potential applications in …
This paper reviews a majority of the nature-inspired algorithms, including heuristic and meta-
heuristic bio-inspired and non-bio-inspired algorithms, focusing on their source of inspiration …
heuristic bio-inspired and non-bio-inspired algorithms, focusing on their source of inspiration …