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Bøger af Jin Song Dong

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  • - 5th International Conference on Formal Engineering Methods, ICFEM 2003, Singapore, November 5-7, 2003, Proceedings
    af Jin Song Dong
    1.135,95 kr.

    This volume contains the proceedings of the 2003 International Conference on Formal Engineering Methods (ICFEM 2003). The conference was the ?fth in a series that began in 1997. ICFEM 2003 was held in Singapore during 5-7 November 2003. ICFEM 2003 aimed to bring together researchers and practitioners from - dustry, academia, and government to advance the state of the art in formal engineering methods and to encourage a wider uptake of formal methods in industry. The Program Committee received 91 submissions from more than 20 co- tries in various regions. After each paper was reviewed by at least three referees in each relevant ?eld, 34 high-quality papers were accepted based on originality, technical content, presentation and relevance to formal methods and software engineering. We wish to sincerely thank all authors who submitted their work for consideration. We would also like to thank the Program Committee members and other reviewers for their great e?orts in the reviewing and selecting process. Weareindebtedtothethreekeynotespeakers,Prof.IanHayesoftheUniv- sity of Queensland, Prof. Mathai Joseph of the Tata Research, Development and DesignCentre,andDr.ColinO'HalloranofQinetiQ,foracceptingourinvitation to address the conference.

  • af Seyedali Mirjalili & Jin Song Dong
    649,95 kr.

    This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an in-depth explanations of the theory, literature review, and applications of several widely-used algorithms, such as Multi-objective Particle Swarm Optimizer, Multi-Objective Genetic Algorithm and Multi-objective GreyWolf Optimizer Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for all the proposed algorithms on a dedicated webpage.

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