Transportation planning has been established as a key topic in the literature and social production practices. An increasing number of researchers are studying vehicle routing problems (VRPs) their variants considering real-life applications scenarios. Furthermore, with rapid growth processing speed memory capacity computers, various algorithms can be used to solve increasingly complex instances VRPs. In this study, we analyzed recent published between 2019 August 2021 using taxonomic...

Transportation planning has been established as a key topic in the literature and practices of social production, especially urban contexts. To consider traffic environment factors, more researchers are taking time-varying factors into account when scheduling their logistic activities. The time-dependent vehicle routing problem (TDVRP) is an extension classical Vehicle Routing Problem with Time Windows (VRPTW) by determining set optimal routes serving customers within specific time windows....

The support vector machine (SVM) and deep learning (e.g., convolutional neural networks (CNNs)) are the two most famous algorithms in small big data, respectively. Nonetheless, smaller datasets may be very important, costly, not easy to obtain a short time. This paper proposes novel SVM (CSVM) that has advantages of both CNN improve accuracy effectiveness mining datasets. proposed CSVM adapts convolution product from learn new information hidden deeply In addition, it uses modified...

Social networks have increasingly become important and popular in modern times. Moreover, the influence of social plays a vital role various organizations, including government academic research organizations corporate organizations. Therefore, strategizing optimal propagation strategy has also more important. Increasing precision evaluating probability can indirectly investment cost, manpower time for information to achieve best return. This study proposes new algorithm, which includes...

The wireless sensor network (WSN) plays an essential role in various practical smart applications, e.g., grids, factories, Internet of Things, and homes, etc. WSNs are comprised embedded sensors. With advanced developments networks research, sensors have been rapidly used fields. In the meantime, WSN performance depends on coverage ratio being used. However, generally relates to their cost, which usually has a limit. Hence, new bi-tuning simplified swarm optimization (SSO) is proposed that...

With the evolution of Internet and introduction third-party platforms, a diversified supply chain has gradually emerged. In contrast to traditional single sales channel, companies can also increase their revenue by selling through multiple channels, such as dual-channel sales: adding channel for direct online platforms. However, due complexity structure, previous studies have rarely discussed analyzed capital-constrained model, which is more relevant actual situation. To solve complex...

Abstract The activities of the traffic department mainly contribute to generation greenhouse gas (GHG) emissions. swift expansion results in a significant increase global pollution levels, adversely affecting human health. To address GHG emissions and propose impactful solutions for reducing fuel consumption vehicles, environmental considerations are integrated with core principles vehicle routing problem. This integration gives rise pollution-routing problem (PRP), which aims optimize...

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Nowadays, due to the development of e-commerce, delivery time has become an important factor influencing quality distribution service. Especially in urban environment, many factors affect time, such as traffic condition on peak hours plays role outcomes planned schedule. Hence, more and research devoted "Time-depend vehicle routing problem (TDVRP)". Consider competitors' for obtaining sales, logistics company should serve customers before other rival distributors. Such is called a...

Network systems are commonly used in various fields, such as power grid, Internet of Things (IoT), and gas networks. Reliability redundancy allocation problem (RRAP) is a well-known reliability design tool, which needs to be developed when the system extended from series-parallel structure more general network structure. Therefore, this study proposes novel RRAP called General (GRRAP) applied systems. The Binary Addition Tree Algorithm (BAT) solve reliability. Since GRRAP an NP-hard problem,...

As the acquisition cost of graphics processing unit (GPU) has decreased, personal computers (PC) can handle optimization problems nowadays. In computing, intelligent swarm algorithms (SIAs) method is suitable for parallelization. However, a GPU-based Simplified Swarm Optimization Algorithm never been proposed. Accordingly, this paper proposed Parallel (PSSO) based on CUDA platform considering computational ability and versatility. PSSO, theoretical value time complexity fitness function O...