Results 51 to 60 of about 2,175,305 (107)

Differential-Evolution-Based Coevolution Ant Colony Optimization Algorithm for Bayesian Network Structure Learning

Algorithms, 2018
Learning the Bayesian networks (BNs) structure from data has received increasing attention. Many heuristic algorithms have been introduced to search for the optimal network that best matches the given training data set. To further improve the performance
Xiangyin Zhang, Yuying Xue, Xingyang Lu, Songmin Jia   +3 more
doaj   +1 more source

Hybrid Osprey‐Salp Swarm Optimization Algorithm for Single and Multiobjective Optimal Power Flow in Smart Grids With Renewable Energy Integration

Energy Science &Engineering, Volume 14, Issue 7, Page 3346-3387, July 2026.
The proposed hybrid osprey‐salp swarm optimization algorithm addresses optimal power flow (OPF) problems in smart grids incorporating solar, hydro, and thermal generators. The algorithm is validated on Institute of Electrical and Electronics Engineers 30‐, 57‐, and 118‐bus test systems across five single and multiobjective OPF scenarios.
Mujtaba Ali, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Gang Xiong, Krzysztof Ejsmont, Xiaoli Liu   +5 more
wiley   +1 more source

Nature‐Inspired Meta‐Heuristic Optimization Algorithms Integrated With Ensemble Machine Learning Techniques for Particulate Matter 2.5 Modeling

Earth and Space Science, Volume 13, Issue 7, July 2026.
Abstract Particulate Matter 2.5 is a major air pollutant that can deeply penetrate the respiratory system and enter the bloodstream when inhaled. The current study employs the use of both Nature inspired Meta‐heuristic optimization algorithms and Ensemble Machine learning techniques for the estimation of Particulate Matter 2.5 value using Sulfur ...
Abdullahi G. Usman, Sagiru Mati, Jamilu Usman, Saidur R. Chowdhury, Syed Masiur Rahman, Saad Sh. Sammen, Sani I. Abba, Ali Salem   +7 more
wiley   +1 more source

Path optimization for robots using nature-inspired hybrid algorithms: ACO, PSO, and GSO

Systems and Soft Computing
Path planning represents a fundamental challenge in the domain of artificial intelligence, particularly when autonomous robots are required to operate in complex and dynamic environments. Conventional optimization techniques, including Genetic Algorithms
Sameer Shastri, Nagendra Tripathi, Shobha Lata Sinha, Saroj Kumar Pandey, Maheswaran S, Anurag Sinha, Ayodeji Olalekan Salau   +6 more
doaj   +1 more source

An Improved Ant Colony Algorithm for Continuous Optimization Based on Levy Flight

Chemical Engineering Transactions, 2016
Ant colony optimization (ACO) is proposed on the study of the foraging behavior of ants on the basis of the proposed and widely used in the optimization. However, it has some shortcoming such as longer time, hardly implement and local optimal etc.
H.Z. Wang, C.G. Liang
doaj   +1 more source

Comparative Metaheuristic Optimization of PI Controllers for Electric Vehicle Speed Control

Engineering Reports, Volume 8, Issue 6, June 2026.
This paper presents the design, modeling, and simulation validation of an electric vehicle system, using speed variation as a reference to ensure optimal operation in terms of acceleration and deceleration. First, a conventional PI controller controls the vehicle's speed.
Samira Heroual, Belkacem Belabbas, Mohamed Metwally Mahmoud, Yasser Diab, Tayeb Allaoui, Vojtech Blazek, Daniel Eutyche Mbadjoun Wapet, Ali M. El‐Rifaie, Galal F. Abdelaal   +8 more
wiley   +1 more source

Learning Multi-Tree Classification Models with Ant Colony Optimization [PDF]

, 2014
Ant Colony Optimization (ACO) is a meta-heuristic for solving combinatorial optimization problems, inspired by the behaviour of biological ant colonies. One of the successful applications of ACO is learning classification models (classifiers).
Otero, Fernando E.B., Khalid M. Salama, Salama, Khalid M., Fernando E. B. Otero   +3 more
core   +1 more source

Flow Shop Scheduling Using a Combination of Ant Colony Optimization Algorithm and Tabu Search Algorithm to Minimize Total Tardiness

Jurnal Teknik Industri: Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri
This paper addresses the problem of production tardiness on five parallel production floors at PT Garmen X, each with an identical machine arrangement.
Hana Merlina Hesti Bestari, Pratya Poeri Suryadhini, Nopendri Nopendri   +2 more
doaj   +1 more source

Heuristic Ant Colony Optimization with Applications in Communication Systems

Semina: Ciências Exatas e Tecnológicas, 2014
This work explores the heuristic optimization algorithm based on ant colonies (ACO), deployed on complex optimization problems, aiming to achieve an iterative and feasible method which is able to solve NP and NP-Hard problems related to wireless networks.
Mateus de P. Marques, Bruno A. Angélico, Taufik Abrão   +2 more
doaj   +1 more source

Recommender Systems: Taxonomy, Applications and Current Research Trends

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
Integrating taxonomy, application developments, open‐source software, and publication trends, this paper identifies and outlines promising future directions for recommender systems research. ABSTRACT Recommender Systems play an essential role in assisting users to navigate the immense amount of information and services available online, aiding them in ...
Daniel Ranchal‐Parrado, Carlos Porcel, Jesús Alcalá‐Fdez   +2 more
wiley   +1 more source