Skip to main content
Elsevier
View Cart
My account

Books in Planning and scheduling

BooksJournals

    • Advances in Project Scheduling

      • 1st Edition
      • October 22, 2013
      • R. Slowinski + 1 more
      • English
      • eBook
        9 7 8 1 4 8 3 2 9 0 7 2 0
      This multi-author volume, containing contributions from international experts in the field, presents recent developments in project scheduling for both theory and practice. It is organized in three parts: I. Basic deterministic models; II. Special deterministic models; III. Stochastic models. A variety of approaches is presented dealing with multiple-category resource constraints, different mathematical models of activities, and various project performance measures in single and multiobjective formulation. Exact and heuristic algorithms are presented for both deterministic and stochastic project description.The volume will be of special interest to scientists, students, decision makers, executive managers, consultants and practitioners involved in systems management or operations research, in particular in business, engineering, and finance, but also in other areas of pure and applied sciences.

    • Practical Planning

      • 1st Edition
      • September 1, 1988
      • David E. Wilkins
      • English
      • Hardback
        9 7 8 0 9 3 4 6 1 3 9 4 1
      • Paperback
        9 7 8 1 4 9 3 3 0 5 8 4 1
      • eBook
        9 7 8 0 0 8 0 5 1 4 4 7 5
      Planning, or reasoning about actions, is a fundamental element of intelligent behavior--and one that artificial intelligence has found very difficult to implement. The most well-understood approach to building planning systems has been under refinement since the late 1960s and has now reached a level of maturity where there are good prospects for building working planners.Practical Planning is an in-depth examination of this classical planning paradigm through an intensive case study of SIPE, a significantly implemented planning system. The author, the developer of SIPE, defines the planning problem in general, explains why reasoning about actions is so complex, and describes all parts of the SIPE system and the algorithms needed to achieve efficiency. Details are discussed in the context of problems and important issues in building a practical planner; discussions of how other systems address these issues are also included.Assuming only a basic background in AI, Practical Planning will be of great interest to professionals interested in incorporating planning capabilities into AI systems.