Results 71 to 80 of about 8,500 (224)

Adaptive Hybrid Multi‐Objective Evolutionary Algorithm for Wireless Sensor Network Optimization: A Comprehensive Framework Integrating Opposition‐Based Learning and Levy Flight Strategies

Engineering Reports, Volume 8, Issue 5, May 2026.
The configuration of WSN design parameters presents a formidable multi‐objective optimization challenge characterized by five competing objectives that exhibit complex interdependencies. Figure 1 illustrates a typical WSN deployment topology showing sensor nodes, cluster heads, coverage areas, and various network conditions including out‐of‐range ...
Sandeep Deshmukh, Deepak Chandra Uprety, Mohd Haroon, Dyuti Banerjee, Preety Shoran, Yash Varshney, Anurag Sinha, Samarth Sinha, Shantanu Kumar Mishra   +8 more
wiley   +1 more source

Edge detection in digital images using Ant Colony Optimization [PDF]

Computer Science Journal of Moldova, 2015
Ant Colony Optimization (ACO) is an optimization algorithm inspired by the behavior of real ant colonies to approximate the solutions of difficult optimization problems. In this paper, ACO is introduced to tackle the image edge detection problem.
Marjan Kuchaki Rafsanjani, Zahra Asghari Varzaneh   +1 more
doaj  

SACOC: A spectral-based ACO clustering algorithm [PDF]

, 2014
The application of ACO-based algorithms in data mining is growing over the last few years and several supervised and unsupervised learning algorithms have been developed using this bio-inspired approach. Most recent works concerning unsupervised learning
Otero, Fernando E. B., David Camacho, Héctor D. Menéndez, Otero, Fernando E.B., Camacho, David, Menendez, Hector, Menéndez, Héctor D., Fernando E. B. Otero   +7 more
core   +1 more source

ACO Modeling: Organizational Modeling of an Ant Multi-Colonies Optimization Approach

International Journal of Computer Applications, 2015
This paper describes the organizational modeling of the Ant Colony Optimization (ACO). It presents a modeling approach of the ACO based on Holonic Multi-Agent paradigm named (Holonic MultiAgent Systems: HMAS). The approach of modeling used is organizational and it uses four basic concepts: Capacity, Role, Interaction and Organization (CRIO).
Emmanuel Tonye, Elie TagneFute
openaire   +1 more source

Enhancing Wind Turbine Performance With Transformer‐Based Predictive Control and Quantum‐Inspired Optimization: A Novel Hybrid Model for Power Prediction and Control

Engineering Reports, Volume 8, Issue 5, May 2026.
This work introduces an integrated Transformer‐based Predictive Control and Quantum‐Inspired Optimization framework that significantly boosts wind turbine performance. The approach improves power‐output prediction accuracy and enhances turbine efficiency, stress reduction, and operational reliability, offering an adaptive and intelligent control ...
PengCheng Liu, Gang Guo, Shuai Cong, Bei Zhou, Congcong Zhang   +4 more
wiley   +1 more source

Adaptive Genetic Algorithm Integrated with Ant Colony Optimization for Multi-Task Agricultural Machinery Scheduling

Agriculture
Efficient scheduling of agricultural machinery is critical for optimizing resource utilization and reducing operational costs in modern farming operations. This study proposes an Adaptive Genetic Algorithm integrated with Ant Colony Optimization (AGA-ACO)
Li Dai, Zhikai Jin, Xiong Zhao, Xiaoqiang Du, Zenghong Ma   +4 more
doaj   +1 more source

Handling continuous attributes in ant colony classification algorithms [PDF]

, 2009
Most real-world classification problems involve continuous (real-valued) attributes, as well as, nominal (discrete) attributes. The majority of Ant Colony Optimisation (ACO) classification algorithms have the limitation of only being able to cope with ...
Otero, Fernando E.B., Colin G. Johnson, Johnson, Colin G., Alex A. Freitas, Freitas, Alex A., Fernando E. B. Otero   +5 more
core   +1 more source

Remaining Useful Life (RUL) Prediction Methods for Machine Health Estimation and Fault Diagnosis: A Comprehensive Review of Latest Techniques and Future Prospects

Engineering Reports, Volume 8, Issue 4, April 2026.
A comprehensive review of model‐based, data‐driven, and hybrid approaches for Remaining Useful Life (RUL) prediction, emphasizing their role in predictive maintenance, fault diagnosis, and enhancing industrial reliability. ABSTRACT This paper aims to provide a state‐of‐the‐art review of the most recent Remaining Useful Life (RUL) prediction methods ...
Arslan Ahmed Amin, Ansa Mubarak, Saba Waseem, Zuhair A. Alqarni, Habib Ullah Manzoor   +4 more
wiley   +1 more source

A Novel Hybrid Recruit Simulated Annealing and Rat Swarm Optimization Algorithm for Permutation Flow Shop Scheduling

Engineering Reports, Volume 8, Issue 4, April 2026.
Rat swarm position update mechanism in HRSA‐RSO, illustrating the collective exploration behavior around the prey target (A*, B*). ABSTRACT The permutation flow shop scheduling problem (PFSSP) is a classical NP‐hard problem that aims to determine an optimal job sequence across machines to minimize makespan.
Mourad Mzili, Mouna Torki, Toufik Mzili, Mohammed Benzakour Amine, Nebojsa Bacanin, Momina Shaheen   +5 more
wiley   +1 more source

Near-Optimum Soft-Output Ant-Colony-Optimization Based Multiuser Detection for the DS-CDMA uplink

, 2008
In this contribution, a novel soft-output Ant Colony Optimization (ACO) based Multi-User Detector (MUD) is proposed for the synchronous Direct-Sequence Code-Division- Multiple-Access (DS-CDMA) uplink.
Yang, L.-L., R. Maunder, Xu, C., Yang, Lie-Liang, C. Xu, L.-L. Yang, L. Hanzo, Xu, Chong, Hanzo, Lajos, Hanzo, L., Maunder, R. G., Maunder, Robert G.   +11 more
core   +1 more source