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Recent advances in use of bio-inspired jellyfish search algorithm for solving optimization problems
The complexity of engineering optimization problems is increasing. Classical gradient-
based optimization algorithms are a mathematical means of solving complex problems …
based optimization algorithms are a mathematical means of solving complex problems …
[HTML][HTML] Review of metaheuristics inspired from the animal kingdom
The search for powerful optimizers has led to the development of a multitude of
metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom …
metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom …
[HTML][HTML] A survey of path planning algorithms for mobile robots
Path planning algorithms are used by mobile robots, unmanned aerial vehicles, and
autonomous cars in order to identify safe, efficient, collision-free, and least-cost travel paths …
autonomous cars in order to identify safe, efficient, collision-free, and least-cost travel paths …
A competitive mechanism based multi-objective particle swarm optimizer with fast convergence
In the past two decades, multi-objective optimization has attracted increasing interests in the
evolutionary computation community, and a variety of multi-objective optimization algorithms …
evolutionary computation community, and a variety of multi-objective optimization algorithms …
Hybrid quantum particle swarm optimization and variable neighborhood search for flexible job-shop scheduling problem
The rise and integration of Industry 4.0 has led to a growing focus on the flexible job-shop
scheduling problem (FJSP). As an extension of the classic job-shop scheduling problem …
scheduling problem (FJSP). As an extension of the classic job-shop scheduling problem …
A novel collaborative optimization algorithm in solving complex optimization problems
To overcome the deficiencies of weak local search ability in genetic algorithms (GA) and
slow global convergence speed in ant colony optimization (ACO) algorithm in solving …
slow global convergence speed in ant colony optimization (ACO) algorithm in solving …
A new metaheuristic optimisation algorithm motivated by elephant herding behaviour
In this paper, a new swarm-based metaheuristic algorithm, called elephant herding
optimisation (EHO), is proposed for solving global optimisation tasks, which is inspired by …
optimisation (EHO), is proposed for solving global optimisation tasks, which is inspired by …
A survey on firefly algorithms
J Li, X Wei, B Li, Z Zeng - Neurocomputing, 2022 - Elsevier
Firefly algorithm (FA) is one of the popular algorithms of Swarm Intelligence domain. The
literature has expanded significantly in the past few years. This paper provides a timely …
literature has expanded significantly in the past few years. This paper provides a timely …
Cluster head selection for energy efficient and delay-less routing in wireless sensor network
Wireless sensor network (WSN) is comprised of tiny, cheap and power-efficient sensor
nodes which effectively transmit data to the base station. The main challenge of WSN is the …
nodes which effectively transmit data to the base station. The main challenge of WSN is the …
An improved sand cat swarm optimization for moving target search by UAV
Moving target search is a challenging dynamic path planning problem. In this scenario,
unmanned aerial vehicles endeavor to locate a moving entity based on sensor information …
unmanned aerial vehicles endeavor to locate a moving entity based on sensor information …