Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis …

L Abualigah, MA Elaziz, AM Khasawneh… - Neural Computing and …, 2022 - Springer
Real-world engineering design problems are widespread in various research disciplines in
both industry and industry. Many optimization algorithms have been employed to address …

A comprehensive survey of sine cosine algorithm: variants and applications

AB Gabis, Y Meraihi, S Mirjalili… - Artificial Intelligence …, 2021 - Springer
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 …

[HTML][HTML] A new artificial ecosystem-based optimization integrated with Nelder-Mead method for PID controller design of buck converter

D Izci, B Hekimoğlu, S Ekinci - Alexandria Engineering Journal, 2022 - Elsevier
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 …

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 …

A novel chaotic-driven Tuna Swarm Optimizer with Newton-Raphson method for parameter identification of three-diode equivalent circuit model of solar photovoltaic …

C Kumar, DM Mary - Optik, 2022 - Elsevier
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 …

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 …

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 …

[HTML][HTML] Novel hybrid crayfish optimization algorithm and self-adaptive differential evolution for solving complex optimization problems

HN Fakhouri, A Ishtaiwi, SN Makhadmeh, MA Al-Betar… - Symmetry, 2024 - mdpi.com
This study presents the Hybrid COASaDE Optimizer, a novel combination of the Crayfish
Optimization Algorithm (COA) and Self-adaptive Differential Evolution (SaDE), designed to …

Optimal multi-robot path planning using particle swarm optimization algorithm improved by sine and cosine algorithms

HK Paikray, PK Das, S Panda - Arabian Journal for Science and …, 2021 - Springer
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 …

Development and Design of Object Avoider Robot and Object, Path Follower Robot Based on Artificial Intelligence

F Hamad, HN Fakhouri, F Alzghoul… - Arabian Journal for …, 2024 - Springer
Robot path planning is a critical challenge in robotics, demanding efficient navigation and
effective obstacle avoidance in complex environments. This research investigates the …