Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis …
Real-world engineering design problems are widespread in various research disciplines in
both industry and industry. Many optimization algorithms have been employed to address …
both industry and industry. Many optimization algorithms have been employed to address …
A comprehensive survey of sine cosine algorithm: variants and applications
Abstract Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the
proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in …
proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in …
[HTML][HTML] A new artificial ecosystem-based optimization integrated with Nelder-Mead method for PID controller design of buck converter
Over the last decade, there has been a constant development in control techniques for DC-
DC power converters which can be classified as linear and nonlinear. Researchers focus on …
DC power converters which can be classified as linear and nonlinear. Researchers focus on …
A comprehensive survey on the sine–cosine optimization algorithm
RM Rizk-Allah, AE Hassanien - Artificial Intelligence Review, 2023 - Springer
Metaheuristic algorithms based on intelligent rules have been successfully developed and
applied to solve many optimization areas over the past few decades. The sine–cosine …
applied to solve many optimization areas over the past few decades. The sine–cosine …
A novel chaotic-driven Tuna Swarm Optimizer with Newton-Raphson method for parameter identification of three-diode equivalent circuit model of solar photovoltaic …
Photovoltaic (PV) modeling is becoming an increasingly popular field of study. When it
comes to the effective performance and reliability of PV systems, the reliability of PV models …
comes to the effective performance and reliability of PV systems, the reliability of PV models …
A hybrid sperm swarm optimization and gravitational search algorithm (HSSOGSA) for global optimization
HA Shehadeh - Neural Computing and Applications, 2021 - Springer
This paper proposes a new hybrid optimization algorithm, called “(HSSOGSA)” with the
combination of “gravitational search algorithm (GSA)” and “sperm swarm optimization …
combination of “gravitational search algorithm (GSA)” and “sperm swarm optimization …
Design and application of an optimally tuned PID controller for DC motor speed regulation via a novel hybrid Lévy flight distribution and Nelder–Mead algorithm
D Izci - Transactions of the Institute of Measurement and …, 2021 - journals.sagepub.com
This paper deals with the design of an optimally performed proportional–integral–derivative
(PID) controller utilized for speed control of a direct current (DC) motor. To do so, a novel …
(PID) controller utilized for speed control of a direct current (DC) motor. To do so, a novel …
[HTML][HTML] Novel hybrid crayfish optimization algorithm and self-adaptive differential evolution for solving complex optimization problems
This study presents the Hybrid COASaDE Optimizer, a novel combination of the Crayfish
Optimization Algorithm (COA) and Self-adaptive Differential Evolution (SaDE), designed to …
Optimization Algorithm (COA) and Self-adaptive Differential Evolution (SaDE), designed to …
[HTML][HTML] Adaptive Cybersecurity Neural Networks: An Evolutionary Approach for Enhanced Attack Detection and Classification
The increasing sophistication and frequency of cyber threats necessitate the development of
advanced techniques for detecting and mitigating attacks. This paper introduces a novel …
advanced techniques for detecting and mitigating attacks. This paper introduces a novel …
Optimal multi-robot path planning using particle swarm optimization algorithm improved by sine and cosine algorithms
This paper highlights a new approach to generate an optimal collision-free trajectory path for
each robot in a cluttered and unknown workspace using enhanced particle swarm …
each robot in a cluttered and unknown workspace using enhanced particle swarm …