Results 61 to 70 of about 10,782 (162)

Quokka swarm optimization: A new nature-inspired metaheuristic optimization algorithm

Journal of Intelligent Systems
Metaheuristics are efficient algorithms designed to address a broad spectrum of optimization challenges and offer satisfactory solutions, even in scenarios of limited processing capability or incomplete information.
AL-kubaisy Wijdan Jaber, AL-Khateeb Belal   +1 more
doaj   +1 more source

AI-driven hybrid metaheuristic neural network approaches for medical diagnostics

Systems and Soft Computing
In recent years, metaheuristic algorithms have gained prominence as powerful computational techniques for solving complex optimization problems across various domains, including healthcare.
Abdullah Khan, Maria Ali, Dzati Athiar Ramli   +2 more
doaj   +1 more source

Novel Metaheuristic: Spy Algorithm

IEICE Transactions on Information and Systems, 2022
Dhidhi Pambudi, Masaki Kawamura
openaire   +3 more sources

THE DAWN OF METAHEURISTIC ALGORITHMS

International Journal of Software Engineering and Computer Systems, 2018
Optimization has become such a favored area of research in recent times necessitating the need for technical papers and tutorials that will properly analyze and explain the basics of the field. At the heart of efficiency and effectiveness of optimization of engineering, business and industrial processes is metaheuristics, hence the need for proper ...
openaire   +1 more source

Chaos-enhanced metaheuristics: classification, comparison, and convergence analysis

Complex & Intelligent Systems
Chaos theory, with its unique blend of randomness and ergodicity, has become a powerful tool for enhancing metaheuristic algorithms. In recent years, there has been a growing number of chaos-enhanced metaheuristic algorithms (CMAs), accompanied by a ...
Abdelhadi Limane, Farouq Zitouni, Saad Harous, Rihab Lakbichi, Aridj Ferhat, Abdulaziz S. Almazyad, Pradeep Jangir, Ali Wagdy Mohamed   +7 more
doaj   +1 more source

Surrogate-Assisted Slime Mould Algorithm Considering a Dual-Based Merit Criterion for Global Database Management

Algorithms
Metaheuristic algorithms, including evolutionary approaches, are vital for solving non-trivial and non-convex optimization problems. However, real-world engineering often involves high-dimensional, expensive problems that deteriorate performance due to ...
Pedro Bento, José Pombo, Hugo Nunes, Maria Calado, Sílvio Mariano   +4 more
doaj   +1 more source

Metaheuristics in automated machine learning: Strategies for optimization

Intelligent Systems with Applications
The present work explores the application of Automated Machine Learning techniques, particularly on the optimization of Artificial Neural Networks through hyperparameter tuning.
Francesco Zito, El-Ghazali Talbi, Claudia Cavallaro, Vincenzo Cutello, Mario Pavone   +4 more
doaj   +1 more source

Optimization of Soft Actuator Geometry and Material Modeling Using Metaheuristic Algorithms

Actuators
The geometry of soft actuators significantly impacts their performance, including force generation, range of motion, and adaptability. Optimizing actuator geometry and material properties under specific constraints is crucial for achieving desired ...
Mohamed Slim, Nizar Rokbani, Mohamed Ali Terres, Eric Watelain, Mohamed Moncef Ben Khelifa   +4 more
doaj   +1 more source

Study of Convergence in Metaheuristics Algorithms

Baltic Journal of Modern Computing, 2019
Donatas Kavaliauskas, Leonidas Sakalauskas   +1 more
openaire   +1 more source

Benchmarking Metaheuristic Algorithms Against Optimization Techniques for Transportation Problem in Supply Chain Management

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
The optimization of transportation problems plays a significant role in supply chain management (SCM), where minimizing costs and improving efficiency are mandatory.
Felicia Lim Xin Ying, Suliadi Firdaus Sufahani   +1 more
doaj   +1 more source