Results 81 to 90 of about 8,500 (224)

Improving the cAnt-MinerPB Classification Algorithm [PDF]

, 2012
Ant Colony Optimisation (ACO) has been successfully applied to the classification task of data mining in the form of Ant-Miner. A new extension of Ant-Miner, called cAnt-MinerPB, uses the ACO procedure in a different fashion.
Otero, Fernando E.B., Medland, Matthew, Freitas, Alex A.   +2 more
core   +1 more source

HMC‐DSR: An FPGA‐Accelerated Clustered Routing Protocol for Scalable and Energy‐Efficient MANETs

Engineering Reports, Volume 8, Issue 4, April 2026.
FPGA‐based HMC‐DSR protocol enhances MANET routing with real‐time, energy‐efficient processing, reducing end‐to‐end delay by 20.7%. Power consumption decreased by 15.8%, making it ideal for energy‐constrained systems. Hardware resource optimization achieved a 31.2% reduction in flip‐flops and 27.4% in slice utilization. Throughput improvement of 19.4%,
Arvind Kumar, Adesh Kumar, Anurag Vijay Agrawal, Varun Pratap Singh   +3 more
wiley   +1 more source

Prognostics and Health Management in Polymer Electrolyte Fuel Cells: Current Trends, Challenges, and Future Directions

Fuel Cells, Volume 26, Issue 2, April 2026.
ABSTRACT Prognostics and health management are crucial for the reliability and lifetime assessment of polymer electrolyte fuel cells (PEFCs). Here, we review the current advances on this topic, focusing mainly on key degradation mechanisms and methodologies such as physics‐aware, data‐driven, and hybrid modeling approaches.
Farideh Abdollahi, Kourosh Malek, Thomas Kadyk, Nadiia Kulyk, Christophe Gerling, Michael H. Eikerling   +5 more
wiley   +1 more source

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

Ant Colony Optimization (ACO) for Traveling Salesman Problem: A Review

Asian Journal of Research in Computer Science
The traveling salesman problem (TSP) is a fundamental combinatorial optimization problem with applications in resource management, logistics, and communications. In order to address TSP and its differences, this paper discusses developments in Ant Colony Optimization (ACO), a biologically inspired algorithm.
Warveen Merza Eido, Ibrahim Mahmood Ibrahim   +1 more
openaire   +1 more source

Soil Nail Design Optimization Through Adaptive Slope Stability Analysis Using Improved Limit Equilibrium Method

International Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 6, Page 2806-2822, 25 April 2026.
ABSTRACT Design optimization for automatically generating optimal design results is a promising technique for enhancing the efficiency of design processes and outcomes. However, its development for soil nail reinforced slopes is limited since the traditional slope stability analysis using the limit equilibrium method (LEM) becomes relatively time ...
Weihang Ouyang, Kai Liu, Si‐Wei Liu
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

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

Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey

CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 297-315, April 2026.
ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics.
Tianyu Hu, Shihao Zhao, Yuanjun Guo, Linxin Zhang, Zhile Yang   +4 more
wiley   +1 more source

Ant colony optimization based simulation of 3d automatic hose/pipe routing

, 2009
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.This thesis focuses on applying one of the rapidly growing non-deterministic optimization algorithms, the ant colony algorithm, for simulating automatic ...
Thantulage, Gishantha I F
core