Island-based Cuckoo Search with elite opposition-based learning and multiple mutation methods for solving optimization problems
BH Abed-alguni, D Paul - Soft Computing, 2022 - Springer
Abstract The island Cuckoo Search (i CSPM) algorithm is a variation of Cuckoo Search that
uses the island model and highly disruptive polynomial mutation to solve optimization …
uses the island model and highly disruptive polynomial mutation to solve optimization …
Patrol robot path planning in nuclear power plant using an interval multi-objective particle swarm optimization algorithm
Z Chen, H Wu, Y Chen, L Cheng, B Zhang - Applied soft computing, 2022 - Elsevier
This paper presents an interval multi-objective path planning (PP) scheme for patrol robot in
nuclear power plant. The purpose of this PP scheme is to find collision-free paths with the …
nuclear power plant. The purpose of this PP scheme is to find collision-free paths with the …
Opposition-based sine cosine optimizer utilizing refraction learning and variable neighborhood search for feature selection
This paper proposes new improved binary versions of the Sine Cosine Algorithm (SCA) for
the Feature Selection (FS) problem. FS is an essential machine learning and data mining …
the Feature Selection (FS) problem. FS is an essential machine learning and data mining …
Trajectory planning of autonomous mobile robots applying a particle swarm optimization algorithm with peaks of diversity
PB Fernandes, RCL Oliveira, JVF Neto - Applied Soft Computing, 2022 - Elsevier
This paper presents a new quantum-behaved particle swarm optimization (QPSO) algorithm
for the trajectory planning task of mobile robotic vehicles in static and dynamic environments …
for the trajectory planning task of mobile robotic vehicles in static and dynamic environments …
Exploratory cuckoo search for solving single-objective optimization problems
The cuckoo search (CS) algorithm is an effective optimization algorithm, but it is prone to
stagnation in suboptimality because of some limitations in its exploration mechanisms. This …
stagnation in suboptimality because of some limitations in its exploration mechanisms. This …
An optimized feature selection using bio-geography optimization technique for human walking activities recognition
A bipedal walking robot is a kind of humanoid robot. It mimics human behavior and is
devised to perform human-specific tasks. Currently, humanoid robots are not capable to …
devised to perform human-specific tasks. Currently, humanoid robots are not capable to …
Discrete hybrid cuckoo search and simulated annealing algorithm for solving the job shop scheduling problem
F Alkhateeb, BH Abed-alguni, MH Al-rousan - The Journal of …, 2022 - Springer
The job shop scheduling problem (JSSP) is a popular NP-hard scheduling problem that
simulates the scheduling problems of different real-world applications in fields such as …
simulates the scheduling problems of different real-world applications in fields such as …
Low-carbon joint scheduling in flexible open-shop environment with constrained automatic guided vehicle by multi-objective particle swarm optimization
Reduction of carbon emissions is receiving growing attention in manufacturing industry. In
the real-life flexible open-shop manufacturing environments, the workpieces generally need …
the real-life flexible open-shop manufacturing environments, the workpieces generally need …
A comparative review of current optimization algorithms for maximizing overcurrent relay selectivity and speed
SN Langazane, AK Saha - IEEE Access, 2024 - ieeexplore.ieee.org
An exponential growth and complexity in diverse distribution systems have contributed to
protection coordination challenges. Initially, protection coordination schemes were achieved …
protection coordination challenges. Initially, protection coordination schemes were achieved …
Improved discrete salp swarm algorithm using exploration and exploitation techniques for feature selection in intrusion detection systems
M Barhoush, BH Abed-alguni… - The Journal of …, 2023 - Springer
The salp swarm algorithm (SSA) is a well-known optimization algorithm that is increasingly
being utilized to solve many sorts of optimization problems. However, SSA may converge to …
being utilized to solve many sorts of optimization problems. However, SSA may converge to …