Barnacles mating optimizer: a new bio-inspired algorithm for solving engineering optimization problems

MH Sulaiman, Z Mustaffa, MM Saari… - Engineering Applications of …, 2020 - Elsevier
This paper presents a novel bio-inspired optimization algorithm namely the Barnacles
Mating Optimizer (BMO) algorithm to solve optimization problems. The proposed algorithm …

[HTML][HTML] The corona virus search optimizer for solving global and engineering optimization problems

K Golalipour, IF Davoudkhani, S Nasri… - Alexandria Engineering …, 2023 - Elsevier
In this paper, a new and effective meta-heuristic method named corona-virus search
optimizer (CVSO) is proposed inspired based on the movement and search of the corona …

A novel upgraded bat algorithm based on cuckoo search and Sugeno inertia weight for large scale and constrained engineering design optimization problems

VK Pathak, AK Srivastava - Engineering with Computers, 2022 - Springer
The bat algorithm (BA) is one of prominent swarm-based algorithm that has the suitability in
solving only small dimension engineering problems and suffers from drawback of getting …

A novel nature-inspired meta-heuristic algorithm for optimization: bear smell search algorithm

A Ghasemi-Marzbali - Soft computing, 2020 - Springer
In the recent years, the optimization problems show that they are a big challenge for
engineering regarding the fast growth of new nature-inspired optimization algorithms …

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 …

Metaheuristics: outlines, MATLAB codes and examples

A Kaveh, T Bakhshpoori - 2019 - Springer
Optimization problems arise in various disciplines like engineering, economics, and
sciences. In view of the practical utility of these problems, there is a need for efficient and …

Binary bat algorithm

S Mirjalili, SM Mirjalili, XS Yang - Neural Computing and Applications, 2014 - Springer
Bat algorithm (BA) is one of the recently proposed heuristic algorithms imitating the
echolocation behavior of bats to perform global optimization. The superior performance of …

A survey on dragonfly algorithm and its applications in engineering

CM Rahman, TA Rashid, A Alsadoon, N Bacanin… - Evolutionary …, 2023 - Springer
The dragonfly algorithm was developed in 2016. It is one of the algorithms used by
researchers to optimize an extensive series of uses and applications in various areas. At …

[HTML][HTML] Emperor penguin optimizer: A comprehensive review based on state-of-the-art meta-heuristic algorithms

OW Khalid, NAM Isa, HAM Sakim - Alexandria Engineering Journal, 2023 - Elsevier
Meta heuristics is an optimization approach that works as an intelligent technique to solve
optimization problems. Evolutionary algorithms, human-based algorithms, physics-based …

Harris hawks optimization: a comprehensive review of recent variants and applications

HM Alabool, D Alarabiat, L Abualigah… - Neural computing and …, 2021 - Springer
Harris hawks optimizer (HHO) has received widespread attention among researchers in
terms of the performance, quality of results, and its acceptable convergence in dealing with …