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A hybrid method to solve reliability-cost-oriented bi-objective machine configuration problem for a flow shop system
Machine configuration is a crucial strategic decision in designing a flow shop system (FSS) and directly affects its performance. This involves...
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A multi-objective flexible manufacturing system design optimization using a hybrid response surface methodology
The present study proposes a hybrid framework combining multiple methods to determine the optimal values of design variables in a flexible...
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Multi-objective sustainable production planning for a hybrid multi-stage manufacturing-remanufacturing system with grade-based classification of recovered and remanufactured products
In this paper, we address the problem of multi-objective production planning in a hybrid manufacturing and remanufacturing system (HMRS), introducing...
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An optimum generation scheduling of electrical power system considering the effect of renewable energy sources by using a hybrid metaheuristic search algorithm
Hybrid algorithms are increasingly being used in optimization strategies. In this paper, a unique hybrid strategy to address the generation...
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A novel hybrid deep-learning framework for medium-term container throughput forecasting: an application to China’s Guangzhou, Qingdao and Shanghai hub ports
Accurately forecasting container port throughput over the medium-term is crucial for making informed investment decisions by companies. However,...
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Vehicle routing with multiple UAVs for the last-mile logistics distribution problem: hybrid distributed optimization
The logistics market stands to benefit from the accessibility and increased use of new technologies. As technology continues to advance, drones have...
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A hybrid multi-criteria decision-making approach for longitudinal data
The purpose of this paper is to propose an approach to meet the need for a robust, longitudinal, and an objective multi-criteria decision-making...
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A constrained swarm optimization algorithm for large-scale long-run investments using Sharpe ratio-based performance measures
We study large-scale portfolio optimization problems in which the aim is to maximize a multi-moment performance measure extending the Sharpe ratio....
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Business-Process-Driven Service Composition in a Hybrid Cloud Environment
Cloud services have been widely used to support tasks in business processes. A variety of services with differing types, brands, and quality of...
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Suboptimal Control Techniques for Networked Hybrid Systems
Over the past decade, major advancements in the areas of communications and computer networks [20] have made it possible for control engineers to...
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COVID-19 vaccination performance of the U.S. states: a hybrid model of DEA and ensemble machine learning methods
Vaccination is seen as the most promising one among the efforts to stop COVID-19 and the U.S. government has given great importance to vaccination....
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Digital Twin and Artificial Intelligence Incorporated with Surrogate Modeling for Hybrid and Sustainable Energy Systems
Surrogate modeling has brought about a revolution in computation in the branches of science and engineering. Backed by Artificial Intelligence, a...
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Toward a Conceptual Framework of Hybrid Strategies in Healthcare: Co-Alignment of Market and Non-Market Activities
The healthcare industry is anything but a free-market forces system due to a high degree of regulation and governmental interference. Healthcare...
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A hybrid metaheuristic for a semiconductor production scheduling problem with deterioration effect and resource constraints
The scheduling of jobs and resources is challenging in semiconductor production and large-scale integrated circuit design. This paper considers a...
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A hybrid evolutionary approach to job-shop scheduling with generic time lags
This paper addresses the job shop scheduling problem including time lag constraints. This is an extension of the job shop scheduling problem with...
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A hybrid heuristic approach to master surgery scheduling with downstream resource constraints and dividable operating room blocks
This study considers a combination of strategic and tactical levels of operating room planning where two types of full-day and half-day blocks are...
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Cardinality constrained portfolio optimization with a hybrid scheme combining a Genetic Algorithm and Sonar Inspired Optimization
The constraints and the vast solution space of operational research optimization problems make them hard to cope with. However, Computational...
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Reconfigurability improvement in Industry 4.0: a hybrid genetic algorithm-based heuristic approach for a co-generation of setup and process plans in a reconfigurable environment
Reconfigurable manufacturing systems (RMS) are designed for adjustable production capabilities to cope with the fluctuating market demand. This...
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A novel hybrid immune clonal selection algorithm for the constrained corridor allocation problem
Aiming at the lack of relevant research on relationship constraints between facilities in the corridor allocation problem (CAP). In this paper, fixed...
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Optimized electric vehicle charging integrated in the unit commitment problem
Displacing combustion engine vehicles with electric ones has recently emerged for reducing adverse environmental impacts and dependencies on fossil...
