Goal Directed Project Management: Effective Techniques and Strategies

clock September 20, 2009 23:17 by author JLC

Author(s) : Erling S. Andersen, Kristoffer V. Grude, Tor Haug
Publisher : Kogan Page
Date        : 2009
Pages     : 256
Format    : PDF
ISBN-10  : 0749453346

Goal Directed Project Management (GDPM) is a unique methodology that has been developed and refined by the authors over a period of more than 20 years. In this time, organizations all over the world have adopted it as a standard approach. The central focus of GDPM is to develop understanding, commitment and involvement while managing successful and lasting change. The authors emphasize the need for a ‘PSO’ (People, System and Organization) perspective that goes beyond the technical aspects dealt with by most project management literature. Goal Directed Project Management gives detailed and practical guidance on how to plan, organize and control these PSO projects effectively, presenting methods and tools that will increase significantly the probability of project success. This fourth edition addresses the financial control of projects in a new chapter, presenting a pragmatic approach - based on GDPM methods - to this aspect of project management.

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Advances in Metaheuristics for Hard Optimization, 1st Edition

clock September 20, 2009 23:12 by author JLC

Author(s) : Patrick Siarry, Zbigniew Michalewicz
Publisher : Springer
Date        : 2007
Pages     : 481
Format    : PDF
ISBN-10  : 3540729593

Many advances have been made recently in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general-purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and various metaheuristics.

The book gathers contributions related to the following topics: theoretical developments in metaheuristics; adaptation of discrete metaheuristics to continuous optimization; performance comparisons of metaheuristics; cooperative methods combining different approaches; parallel and distributed metaheuristics for multiobjective optimization; software implementations; and real-world applications.

This book is suitable for practitioners, researchers and graduate students in disciplines such as optimization, heuristics, operations research, and natural computing.

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