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Firefly algorithm with division of roles for complex optimal scheduling Research Articles

Jia Zhao, Wenping Chen, Renbin Xiao, Jun Ye,zhaojia925@163.com,chen_9731@163.com,rbxiao@hust.edu.cn,yejun68@sina.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 10, Pages 1311-1333 doi: 10.1631/FITEE.2000691

Abstract: A single strategy used in the cannot effectively solve the complex problem. Thus, we propose the FA with (DRFA). Herein, fireflies are divided into leaders, developers, and followers, while a learning strategy is assigned to each role: the leader chooses the greedy ; the developer chooses two leaders randomly and uses the strategy for local development; the follower randomly selects two excellent particles for global exploration. To improve the efficiency of the fixed step size used in FA, a stepped variable step size strategy is proposed to meet different requirements of the algorithm for the step size at different stages. Role division can balance the development and exploration ability of the algorithm. The use of multiple strategies can greatly improve the versatility of the algorithm for complex optimization problems. The optimal performance of the proposed algorithm has been verified by three sets of test functions and a simulation of of cascade reservoirs.

Keywords：萤火虫算法；角色分工；柯西突变；精英邻域搜索；优化调度

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Robotics in Industry—Their Role in Intelligent Manufacturing

Chia-Peng Day

Engineering 2018, Volume 4, Issue 4, Pages 440-445 doi: 10.1016/j.eng.2018.07.012

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Incorporating target language semantic roles into a string-to-tree translation model Article

Chao SU, Yu-hang GUO, He-yan HUANG, Shu-min SHI, Chong FENG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10, Pages 1534-1542 doi: 10.1631/FITEE.1601349

Abstract: The string-to-tree model is one of the most successful syntax-based statistical machine translation (SMT) models. It models the grammaticality of the output via target-side syntax. However, it does not use any semantic information and tends to produce translations containing semantic role confusions and error chunk sequences. In this paper, we propose two methods to use semantic roles to improve the performance of the string-to-tree translation model: (1) adding role labels in the syntax tree; (2) constructing a semantic role tree, and then incorporating the syntax information into it. We then perform string-to-tree machine translation using the newly generated trees. Our methods enable the system to train and choose better translation rules using semantic information. Our experiments showed significant improvements over the state-of-the-art string-to-tree translation system on both spoken and news corpora, and the two proposed methods surpass the phrase-based system on large-scale training data.

Keywords： Machine translation Semantic role Syntax tree String-to-tree

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Repurposing EV Batteries for Storing Solar Energy

Jinyu Chen, Haoran Zhang, Pengjun Zhao, Zhiheng Chen, Jinyue Yan

Engineering 2023, Volume 29, Issue 10, Pages 45-49 doi: 10.1016/j.eng.2023.09.002

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Marine Structures: Future Trends and the Role of Universities Perspective

Preben Terndrup Pedersen

Engineering 2015, Volume 1, Issue 1, Pages 131-138 doi: 10.15302/J-ENG-2015004

Abstract:

This paper emphasizes some of the challenges and trends associated with the future development of marine structures. Its main focus is on ways to improve the efficiency of energy-consuming ships, and on design challenges related to energy-producing offshore structures. This paper also discusses the analysis tools that are most needed to enable sustainable designs for future ships and offshore structures. The last section of the paper contains thoughts on the role of universities in education, research, and innovation regarding marine structures. It discusses curriculum requirements for maritime-technology education, basic research activities, and international cooperation.

Keywords： marine structures ships offshore structures curriculum research activities

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A Security Middleware for Web Applications Based on JavaBeans and Secure Cookie

Cai Zhun,Kong Fanyu,Li Daxing

Strategic Study of CAE 2005, Volume 7, Issue 3, Pages 74-77

Abstract:

This paper discusses the secure operations in the web applications, and designs a framework of middleware. The paper implements the security middleware based on the “JavaBeans” and “Secure Cookie” technology. The middleware improves the efficiency of the web applications through hardware, and reduces the difficulty of development. In the end, the paper discusses the extension based on PMI system and RBAC to control the privilege.

Keywords： JavaBeans Secure Cookie middleware PMI RBAC

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Spatiotemporal distance embedded hybrid ant colony algorithm for a kind of vehicle routing problem with constraints Research Article

Zhenhui FENG, Renbin XIAO,feng_zh@hust.edu.cn,rbxiao@hust.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 7, Pages 1062-1079 doi: 10.1631/FITEE.2200585

Abstract: We investigate a kind of in the car-sharing mobility environment, where the problem is based on user orders, and each order has a reservation time limit and two location point transitions, origin and destination. It is a typical extended vehicle routing problem (VRP) with both time and space constraints. We consider the VRPC problem characteristics and establish a vehicle scheduling model to minimize operating costs and maximize user (or passenger) experience. To solve the scheduling model more accurately, a spatiotemporal distance representation function is defined based on the temporal and spatial properties of the customer, and a spatiotemporal distance embedded hybrid ant colony algorithm (HACA-ST) is proposed. The algorithm can be divided into two stages. First, through spatiotemporal clustering, the spatiotemporal distance between users is the main measure used to classify customers in categories, which helps provide heuristic information for problem solving. Second, an improved ) is proposed to optimize the solution by combining a and the to obtain the final scheduling route. Computational analysis is carried out based on existing data sets and simulated urban instances. Compared with other heuristic algorithms, HACA-ST reduces the length of the shortest route by 2%–14% in benchmark instances. In VRPC testing instances, concerning the combined cost, HACA-ST has competitive cost compared to existing VRP-related algorithms. Finally, we provide two actual urban scenarios to further verify the effectiveness of the proposed algorithm.

Keywords： Vehicle routing problem with constraints (VRPC) Spatiotemporal distance function Labor division strategy Ant colony algorithm (ACO