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The parallel row ordering problem (PROP) is concerned with arranging two groups of facilities along two parallel lines with the goal of minimizing the sum of the flow cost-weighted distances between the pairs of facilities. As the main result of ...

• Fast local search technique for the parallel row ordering problem (PROP).
• Insertion neighborhood exploration for the PROP has quadratic complexity.
• Memetic algorithm (MA) for the PROP.
• Superior performance of MA compared to ...

In this paper, a dynamic distributed flexible job-shop scheduling problem considering uncertain processing time of operation (DDFJSPT) is proposed for the first time. A two-stage efficient memetic algorithm (EMA) is presented to solve the DDFJSPT ...

The flexible periodic vehicle routing problem (FPVRP) is an extension of the classic VRP in which customers are visited periodically in the course of a given time horizon. Periodicity and flexibility in providing services are two main features of ...

Power pole inspection is important to maintain the normal operation of electrical system. It usually requires to fly a fleet of unmanned aerial vehicles (UAVs) from multiple depots at the same time to jointly complete the inspection tasks ...

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• FGATS algorithm addresses multi-depot UAV task assignment for power pole inspections.
• Adaptive fuzzy grouping strategy enhances flexibility and efficiency of FGATS.
• Solution update strategy preserves historical data, improving ...

With the increasing prevalence of Online-to-Offline (O2O) commerce, online food ordering platforms are handling tens of millions of daily food orders. For O2O platforms, an efficient food delivery strategy is crucial as it directly impacts ...

• Scheduling with third-party resource constraints for maintenance is studied.
• Iterated greedy method incorporating problem-dependent rules is developed.
• The proposed algorithm performs well on more than 85% of 240 constructed ...

Outsourcing machine maintenance to third parties has been a trend due to the increasing complex of machines and the benefits of maintenance outsourcing. However, this new phenomenon is ignored in previous studies pertaining to the integrated ...

The existing research on integrated production scheduling typically focuses on activities related to both production and post-production (e.g., operation and maintenance), with limited consideration for simultaneously integrating pre-production ...

• An integrated scheduling problem is studied to optimize costs for two parties.
• Raw material procurement, production and equipment maintenance are considered.
• A MILP model is constructed for the problem.
• A Q-learning-based non-...

In the research of complex networks, how to find a set of nodes in the network with the most extensive range in the propagation process, i.e., the Influence Maximization (IM) problem, is one of the focal topics. Existing studies mainly consider ...

The vehicle routing problem with simultaneous pickup and delivery with time windows (VRPSPDTW) is an important variant of the vehicle routing problem which has received considerable attention among researchers in the last decade. The vast majority ...

• Study collaborative optimization of spare parts production and equipment operation.
• Formulate a mixed-integer linear programming model for the problem.
• Develop a self-adaptive two-stage memetic algorithm to solve the problem.
• ...

Previous studies on production scheduling predominantly focus on developing optimal production plans in the context of deterministic customer requirements, achieving certain optimization goals related to the manufacturer. However, little research ...

Thus far, the available works on sequencing flexibility in shop floor scheduling only consider the sequencing flexibility with serial operation constraint. However, the sequencing flexibility with discrete and hybrid operation constraints are ...

The green flexible job shop has received increasing attention due to the development of modern industry and the improvement of environmental protection awareness. Meanwhile, in customized manufacturing, the processing time cannot be exactly ...

• The bi-objective green type-2 fuzzy FJSP is studied.
• An enhanced MA with hierarchical heuristic neighborhood search is proposed.
• A cooperative heuristic initialization is designed.
• A hierarchical heuristic neighborhood search ...

The size of the implemented circuit plays a vital role in maximizing the performance of the chip. Hence, researchers are looking to utilize the extra dimension to improve performance, which requires the development of new methods and techniques ...

Most existing distributed hybrid flow-shop scheduling problems (DHFSPs) assume identical shops and lack consideration of heterogeneous shops. This study focuses on energy-efficient heterogeneous DHFSP. A multiobjective memetic algorithm with ...

• Multi-group PSO as global search enhances multi-direction convergence of PF.
• Two local search strategies cooperate with particle swarm optimization.
• Inter-factory local search with insert and swap between critical factories.
• ...

Order cancellation, due to such as customer plan adjustments or market changes, usually occurs in the real production environment of distributed flexible job shop scheduling problem (DFJSP). However, thus far, all exiting researches about DFJSP ...

The integration of manufacturing and logistics scheduling issues in shop operations has garnered considerable attention. Concurrently, escalating concerns about global warming have propelled the emergence of green manufacturing as a critical ...

• The energy-aware FJSP with finite transportation resources is first considered.
• The critical block in EFJS-AGV is first defined.
• Four neighborhood structures based on critical paths and blocks are proposed.
• The deep ...

This paper introduces an integer linear program for a variant of the linear ordering problem. This considers, besides the pairwise preferences in the objective function as the linear ordering problem, positional preferences (weighted rank) in the ...

This paper proposes a hybrid machine learning-based approach to forecast the exchange rate between the Indian Rupee and the US dollar. The prediction of the exchange rate is carried out by support vector regression (SVR) and a hybrid-shuffled frog ...

The memetic segmentation algorithm has been proposed to obtain precise segmentation results through efficient local refinement. However, this algorithm overlooks the consideration of time lags among variables or spatial locations in multivariate ...

• A memetic segmentation algorithm based on the variable time lag aware for multivariate time series is proposed to perceive the time lag in the multivariate time series to obtain the optimal segmentation positions synchronously.
• To ...

Home health care (HHC) is a fast-growing area of research that has received increasing attention in recent years due to the rise in life expectancy and the fall in birth rates. It is expected to reduce length of stay in hospital as well as to ...