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Mass transit is a key aspect of urban planning and management. A vast network of mass transit provides various options for connectivity to individuals through extensive networks. On the other hand, a bigger network incurs a huge cost on the operator. ...

In the manufacturing industry, production facilities for product manufacturing often contain unreliable operating machines and standbys. The machines can break down and result in productivity loss, and have to be repaired by the repairmen. To ...

• Geometric and the dynamic models were established in obstacle crossing process.
• The multi-objective optimization of robot motion during obstacle crossing was formed.
• An improved NSGA-II was applied to the structural optimal design ...

Stability of obstacle–crossing and structural optimization are important issues in the research of tracked mobile robots. In this paper, in order to fully understand the obstacle–surmounting ability of the robot, the relationship between the ...

The Internet of Things (IoT) has become a pervasive phenomenon, with applications in a multitude of sectors, including healthcare, smart agriculture, smart cities, transportation, and water management. This has led to a significant generation of ...

Industry 5.0 makes it imperative to reevaluate the manner of using resources in manufacturing systems to ensure sustainability. In this context, scheduling problems are encountering new environmental and human-related challenges, and the concept ...

• Human-centric manufacturing flexible job shop integrated.
• Energy consumption considered.
• Economic, environmental and social aspects balanced.
• Q-Learning based improved NSGA-III developed.
• Workers safety and preferences: ...

Traditional flexible job shop scheduling problems (FJSP) are mostly limited to deterministic environments. In actual production, some uncertain factors lead to changes in job processing time. When solving multi-objective fuzzy flexible job shop ...

• An initialization method combining global and local search is proposed.
• A hybrid strategy for balancing algorithm diversity and convergence is designed.
• A multi-level optimization strategy is designed to guide population evolution.

The aircraft landing problem (ALP) is a challenging scheduling and optimization problem in the industry and engineering, which has attracted attention in recent decades. Existing research has predominantly concentrated on optimizing aircraft delay ...

Problem Blood is a rare perishable substance with limited life in the real world and blood supply chain management is a vital subject. Hence, it is trying to design an efficient supply chain network to create a balance between blood supply and ...

The rapid development of the Internet of Vehicles has put forward higher requirements for task offloading. Users focus on the service quality of vehicular applications, while edge server operators focus on reducing energy consumption and ensuring ...

Incorporating partner selection with environmental commitment is recognized as a crucial aspect of green development in fresh produce supply chains. This paper presents a multi-objective programming (MOP) model for partner selection considering ...

• OGSM-MOP is adjustable for the foresight of sustainable fresh produce supply chain.
• OGSM scheme enables activities of supply chain partners aligned with common goals.
• MOP transforms goals set by OGSM into an optimization model to ...

• Innovative AI-based approach to designing an acoustofluidic micromixer is proposed.
• Response Surface Methodology is used to mathematically model the system.
• Metaheuristic algorithms and RSM are employed to for data-driven ...

Micro-mixing is an essential step in various biological and chemical analyses and synthesis processes. In the present study, an acoustofluidic micromixer is designed, modeled, and its functionality has been investigated. Intelligent ...

Recently, the first mathematical runtime guarantees have been obtained for the NSGA-II, one of the most prominent multi-objective optimization algorithms, however only for synthetic benchmark problems.

In this work, we give the first proven performance ...

The NSGA-II was recently proven to have difficulties in many-objective optimization. In contrast, the literature experimentally shows a good performance of the SMS-EMOA, which can be seen as a steady-state NSGA-II that uses the hypervolume contribution ...

The NSGA-II is one of the most prominent algorithms to solve multi-objective optimization problems. Despite numerous successful applications, several studies have shown that the NSGA-II is less effective for larger numbers of objectives. In this work, we ...

Multi-objective optimization algorithms have a wide range of applications in various fields. NSGA-II (Non-dominated Sorting Genetic Algorithm II) is a well-known multi-objective optimization algorithm. However, when solving high-dimensional problems ...

With ongoing advancements in space exploration and communication technology, the realization of an Earth-Moon space information network is gradually becoming a reality. One of the critical factors for efficient communication within this network is ...

Research on multi-objective discrete optimization of Waste Electrical and Electronic Equipment (WEEE) remanufacturing remains under-studied in the literature. Remanufacturing laptops to extend their useful life is viewed as the best End-Of-Life (...

In this paper, two methods for accurate behavioral modeling of circuits applicable to the power amplifiers (PAs) are proposed. Firstly, an X-band PA based on WIN's 0.15 μm GaAs pHEMT process is presented. Taking this PA as an example, a modeling ...

Based on multimodal and low-carbon transportation both domestically and internationally, combined with carbon tax policies, this article conducts empirical research on the transportation of goods in the Yangtze River Delta region. A dual objective model ...

Efficient allocation of citizens to service modules is crucial for the National Electoral Institute (INE) of Mexico, particularly for those applying for their voter identification card for the first time. This study focuses on a multi-objective ...