Significant research activity has occurred in the area of global optimization in recent years. Many new theoretical, algorithmic, and computational contributions have resulted. Despite the major importance of test problems for researchers, there has been a lack of representative nonconvex test problems for constrained global optimization algorithms. This book is motivated by the scarcity of global optimization test problems and represents the first systematic collection of test problems for evaluating and testing constrained global optimization algorithms. This collection includes problems arising in a variety of engineering applications, and test problems from published computational reports.
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5.0 out of 5 stars
Essential source of optimization test problems,
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This review is from: A Collection of Test Problems for Constrained Global Optimization Algorithms (Lecture Notes in Computer Science) (Paperback)
This is a truly comprehensive set of test problems (some quite challenging), assembled by Professor Floudas of Princeton University, one of the maestros of formal mathematical optimization. Many of the problems are sure bets to defeat most home-grown codes, I think. Add these to the sets assembled by Professor K. Schittkowski and you'll stay busy (and happy) trying to solve some real ticklers.
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Key Phrases - Statistically Improbable Phrases (SIPs):
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prespecified streams, best known solution, pooling problem, nonzero variables, reactor network, heat exchanger network, nonlinear objective function, nonlinear constraints, global optimization algorithms, objective function subject Key Phrases - Capitalized Phrases (CAPs): (learn more)
Test Problem, Level Var, Problem Formulation, Problem Statistics Number of Variables, Number of Linear Constraints, Number of Nonlinear Constraints, Global Solution, Continuous Variables, Binary Variables, Other Data Parameter, Data Coefficient Column, Haverly's Pooling Problem, Flowrates Var, Concentrations Var New!
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prespecified streams, best known solution, pooling problem, nonzero variables, reactor network, heat exchanger network, nonlinear objective function, nonlinear constraints, global optimization algorithms, objective function subject Key Phrases - Capitalized Phrases (CAPs): (learn more)
Test Problem, Level Var, Problem Formulation, Problem Statistics Number of Variables, Number of Linear Constraints, Number of Nonlinear Constraints, Global Solution, Continuous Variables, Binary Variables, Other Data Parameter, Data Coefficient Column, Haverly's Pooling Problem, Flowrates Var, Concentrations Var New!
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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Citations (learn more)
63
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- Handbook of Global Optimization Volume 2 (Nonconvex Optimization and Its Applications (closed)) by Panos M. Pardalos on page 59, and Back Matter
- Graph-Theoretic Concepts in Computer Science: 16th International Workshop WG '90, Berlin, Germany, June 20-22, 1990 (Lecture Notes in Computer Science) by Rolf H. Möhring in Back Matter
- Mathematical Foundations of Computer Science 1991: 16th International Symposium, Kazimierz Dolny, Poland, September 9-13, 1991. Proceedings (Lecture Notes in Computer Science) by Andrzej Tarlecki in Back Matter
- A Unified Approach to Interior Point Algorithms for Linear Complementarity Problems (Lecture Notes in Computer Science) by Masakazu Kojima in Back Matter
- Efficient Query Processing in Geographic Information Systems (Lecture Notes in Computer Science) by Beng Chin Ooi in Back Matter
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