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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 ...

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 ...

• 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 ...

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 ...

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 ...

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 ...

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 ...

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.
• ...

The joint order batching and picker routing problem (JOBPRP) is a combinatorial optimization problem that occurs during in the order-picking operation of warehouse management. It consists of simultaneous assignment of customer orders to batches ...

Networks in the real world are dynamic and evolving. The most critical process in networks is to determine the structure of the community, based on which we can detect hidden communities in a complex network. The design of strong network ...

This paper focuses on the multi-objective energy-efficient flexible job shop scheduling problem with machine breakdowns. To mitigate the impact of machine breakdowns, a rescheduling strategy is implemented in the scheduling process. In addition ...

• A two-stage evolution framework is proposed for EMBFJSP.
• A rescheduling strategy is applied for machine breakdowns.
• The population is initialized by three problem-specific heuristics.
• Four knowledge-driven variable neighborhood ...

Inspired by the evolutionary process in nature, Differential Evolution (DE) has been widely concerned and used as a numerical global optimizer for decades of years, since its emerging in 1997. However, the performance of DE essentially depends on ...

• Recent works on Differential Evolution algorithm, especially from 2019 to 2023.
• Balance of the exploration and exploitation from different scales.
• Hybrid Differential Evolution from the algorithm level.
• Enhanced Differential ...

The satellite image data downlink scheduling problem (SIDSP) plays a critical role in the mission planning operation of earth observation satellites. However, with recent developments in satellite technology, the traditional SIDSP is ...

• Model: To transmit an increased quantity of image data and balance the service rate of all earth observation satellites (EOSs) ...

The semiautomated assembly line balancing problem (SAALBP) is a complex planning problem in which the production process comprises human workers, robots, and human-robot collaboration. With increasing awareness of sustainable practices in the ...

With increasing environmental awareness, energy consumption of industries is becoming a popular research topic. In industrial manufacturing, processing time is highly uncertain. This study investigates a green flexible job shop ...

• The IT2GFJSP model is proposed.
• Five initialization rules are designed.