Electric Power System Applications of Optimization
Electric Power System Applications of Optimization

Author: James A. Momoh

Publisher: CRC Press

Published: 2000-12-19

Total Pages: 498

ISBN-13: 9780824791056

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A study of electric power system applications of optimization. It highlights essential trends in optimizational and genetic algorithms; linear programming; interior point methods of linear, quadratic, and non-linear systems; decomposition and Lagrange relaxation methods; unit commitment; optimal power flow; Var planning; and hands-on applications.

Applied Nature-Inspired Computing: Algorithms and Case Studies
Applied Nature-Inspired Computing: Algorithms and Case Studies

Author: Nilanjan Dey

Publisher: Springer

Published: 2019-08-10

Total Pages: 275

ISBN-13: 9811392633

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This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications. It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems. In turn, it provides an overview of meta-heuristic algorithms, comparing the advantages and disadvantages of each. Moreover, the book provides a brief outline of the integration of nature-inspired computing techniques and various computational intelligence paradigms, and highlights nature-inspired computing techniques in a range of applications, including: evolutionary robotics, sports training planning, assessment of water distribution systems, flood simulation and forecasting, traffic control, gene expression analysis, antenna array design, and scheduling/dynamic resource management.

Power Control and Optimization
Power Control and Optimization

Author: Abdul Hakim Halim

Publisher: American Institute of Physics

Published: 2009-08-28

Total Pages: 380

ISBN-13: 9780735406964

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The platform is the aim of this conference for all researchers, engineers, practitioners, academicians, students and industrial professionals sharing to present their research results and development activities in the area of power control and its optimization techniques. We trust that the theme of the conference - Awareness in Innovation of global optimal - provides emulation between the researchers in their practical results as it relates to the industrial need. This platform brings together researchers working on the development of techniques and methodologies to improve the performance of power and hybrid energy, control and robotics, hybrid system optimization and management, finance and cost effective to lead for global optimal in industry, markets, resources and business.

Model Building in Mathematical Programming
Model Building in Mathematical Programming

Author: H. Paul Williams

Publisher: John Wiley & Sons

Published: 2013-01-18

Total Pages: 432

ISBN-13: 1118506189

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The 5th edition of Model Building in Mathematical Programmingdiscusses the general principles of model building in mathematicalprogramming and demonstrates how they can be applied by usingseveral simplified but practical problems from widely differentcontexts. Suggested formulations and solutions are given togetherwith some computational experience to give the reader a feel forthe computational difficulty of solving that particular type ofmodel. Furthermore, this book illustrates the scope and limitationsof mathematical programming, and shows how it can be applied toreal situations. By emphasizing the importance of the building andinterpreting of models rather than the solution process, the authorattempts to fill a gap left by the many works which concentrate onthe algorithmic side of the subject. In this article, H.P. Williams explains his originalmotivation and objectives in writing the book, how it has beenmodified and updated over the years, what is new in this editionand why it has maintained its relevance and popularity over theyears: ahref="http://www.statisticsviews.com/details/feature/4566481/Model-Building-in-Mathematical-Programming-published-in-fifth-edition.html"http://www.statisticsviews.com/details/feature/4566481/Model-Building-in-Mathematical-Programming-published-in-fifth-edition.html/a