Traffic sensor location problem: Three decades of research

M Owais - Expert Systems with Applications, 2022 - Elsevier
Traffic flow data is a decisive element in transportation planning and traffic management.
Over time, traffic sensors have been recognized as sources of such data. Despite their …

A sustainable flexible manufacturing–remanufacturing model with improved service and green investment under variable demand

B Sarkar, S Bhuniya - Expert Systems with Applications, 2022 - Elsevier
Environmental protection and the availability of natural resources help to maintain
sustainability for manufacturing system. Reusing/remanufacturing economically viable used …

A multi-objective optimization framework for a sustainable closed-loop supply chain network in the olive industry: Hybrid meta-heuristic algorithms

P Seydanlou, F Jolai, R Tavakkoli-Moghaddam… - Expert Systems with …, 2022 - Elsevier
A closed-loop option for reusing, remanufacturing, and recycling waste products in the olive
industry creates a high added value for this business network. This fact motivates the …

Exponential distribution optimizer (EDO): a novel math-inspired algorithm for global optimization and engineering problems

M Abdel-Basset, D El-Shahat, M Jameel… - Artificial Intelligence …, 2023 - Springer
Numerous optimization problems can be addressed using metaheuristics instead of
deterministic and heuristic approaches. This study proposes a novel population-based …

Computational challenges and approaches for electric vehicles

AK Kalakanti, S Rao - ACM Computing Surveys, 2023 - dl.acm.org
Researchers worldwide have become increasingly interested in developing computational
approaches to handle challenges facing electric vehicles (EVs) in recent years. This article …

A bilevel ant colony optimization algorithm for capacitated electric vehicle routing problem

YH Jia, Y Mei, M Zhang - IEEE Transactions on Cybernetics, 2021 - ieeexplore.ieee.org
The development of electric vehicle (EV) techniques has led to a new vehicle routing
problem (VRP) called the capacitated EV routing problem (CEVRP). Because of the limited …

Evolutionary computation for intelligent transportation in smart cities: A survey

ZG Chen, ZH Zhan, S Kwong… - IEEE Computational …, 2022 - ieeexplore.ieee.org
As the population in cities continues to increase, large-city problems, including traffic
congestion and environmental pollution, have become increasingly serious. The …

A knowledge graph empowered online learning framework for access control decision-making

M You, J Yin, H Wang, J Cao, K Wang, Y Miao… - World Wide Web, 2023 - Springer
Abstract Knowledge graph, as an extension of graph data structure, is being used in a wide
range of areas as it can store interrelated data and reveal interlinked relationships between …

A new selection operator for differential evolution algorithm

Z Zeng, M Zhang, T Chen, Z Hong - Knowledge-Based Systems, 2021 - Elsevier
Most research on improving differential evolution algorithms has focused on mutation
operator and parameter control. In this paper, a new selection operator is proposed to …

An advanced electrical vehicle charging station using adaptive hybrid particle swarm optimization intended for renewable energy system for simultaneous distributions

JR Albert, P Selvan, P Sivakumar… - Journal of Intelligent …, 2022 - content.iospress.com
A proposed hybrid approaches are incorporated in Electric Vehicle (EV) fast charging station
(FCS) using (RES). Hybrid approach is improved by Adaptive Hybrid Particle Swarm …