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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 …
Over time, traffic sensors have been recognized as sources of such data. Despite their …
[HTML][HTML] Smart optimization in battery energy storage systems: An overview
The increasing drive towards eco-friendly environment motivates the generation of energy
from renewable energy sources (RESs). The rising share of RESs in power generation …
from renewable energy sources (RESs). The rising share of RESs in power generation …
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 …
deterministic and heuristic approaches. This study proposes a novel population-based …
A multi-objective optimization framework for a sustainable closed-loop supply chain network in the olive industry: Hybrid meta-heuristic algorithms
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 …
industry creates a high added value for this business network. This fact motivates the …
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 …
sustainability for manufacturing system. Reusing/remanufacturing economically viable used …
A bilevel ant colony optimization algorithm for capacitated electric vehicle routing problem
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 …
problem (VRP) called the capacitated EV routing problem (CEVRP). Because of the limited …
Evolutionary computation for intelligent transportation in smart cities: A survey
As the population in cities continues to increase, large-city problems, including traffic
congestion and environmental pollution, have become increasingly serious. The …
congestion and environmental pollution, have become increasingly serious. The …
A knowledge graph empowered online learning framework for access control decision-making
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 …
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 …
operator and parameter control. In this paper, a new selection operator is proposed to …
[HTML][HTML] Optimal power dispatching for a grid-connected electric vehicle charging station microgrid with renewable energy, battery storage and peer-to-peer energy …
The paper proposes an optimization approach and a modeling framework for a PV-Grid-
integrated electric vehicle charging station (EVCS) with battery storage and peer-to-peer …
integrated electric vehicle charging station (EVCS) with battery storage and peer-to-peer …