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Автор: Rafael Marti

Підтримка
​ Rafael Martí is Professor of Statistics and Operations Research at the University of Valencia, Spain. He received a doctoral degree in Mathematics in 1994, and has done extensive research in metaheuristics for hard optimization problems. Dr Martí has about 200 publications, half of them in indexed journals (JCR). He authored several books in optimization, included the co-edited Handbook of Heuristics, a 3-volume reference in the area, published by Springer (2018). Prof. Martí has supervised 7 doctoral and 14 Master thesis, and has secured an American patent. Prof. Martí is currently area editor in the Journal of Heuristics, and associate editor in several journals, including the European Journal of Operational Research, and Math. Prog. Computation. He is Senior Research Associate of the private company Opt Tek Systems (USA), and has given more than 50 invited and plenary talks. Dr. Martí has been invited Professor in many universities, including the University of Colorado (USA), the University of Molde (Norway), the University of Wien (Austria), the University of Bretagne-Sud (France), or the University College of Dublin (Ireland). He coordinates the Spanish Network on Metaheuristics, funded by the Spanish government as a Network of excellence, and the doctoral program “Statistics and Optimization” at the Univerity of Valencia. Gerhard Reinelt is professor of Computer Science at Heidelberg University, Germany, since 1992. He received a doctoral degree in Mathematics in 1985 and habilitated in Computer Science in 1991, both at the University of Augsburg, Germany. His main research activities are concerned with the development, analysis and implementation of algorithms for the solution of large-scale combinatorial optimization and mixed-integer programming problems. This comprises the  design of fast approximate heuristics as well as the development of algorithms for computing provably optimum solutions, where emphasis is laid on methods for cutting plane generation. Reinelt has supervised 21 doctoral students and published several books and co-edited volumes.




7 Електронні книги від Rafael Marti

Enrique Alba & Rafael Martí: Metaheuristic Procedures for Training Neural Networks
Metaheuristic Procedures For Training Neural Networks provides successful implementations of metaheuristic methods for neural network training. Moreover, the basic principles and fundamental ideas gi …
PDF
Англійська
€96.29
Rafael Martí & Gerhard Reinelt: The Linear Ordering Problem
Faced with the challenge of solving the hard optimization problems that abound in the real world, existing methods often encounter great difficulties. Important applications in business, engineering …
PDF
Англійська
€90.94
Manuel Laguna & Rafael Marti: Scatter Search
The book Scatter Search by Manuel Laguna and Rafael Marti represents a long-awaited "missing link" in the literature of evolutionary methods. Scatter Search (SS)-together with its …
PDF
Англійська
DRM
€111.48
Abraham Duarte & Manuel Laguna: Metaheuristics for Business Analytics
This essential metaheuristics tutorial provides descriptions and practical applications in the area of business analytics. It addresses key problems in predictive and prescriptive analysis, while …
EPUB
Англійська
DRM
€56.47
Rafael Martí & Gerhard Reinelt: Exact and Heuristic Methods in Combinatorial Optimization
In the last decades, algorithmic advances as well as hardware and software improvements have provided an excellent environment to create and develop solving methods to hard optimization problems. Mod …
PDF
Англійська
€117.69
Rafael Marti & Panos M. Pardalos: Handbook of Heuristics
Heuristics are strategies using readily accessible, loosely applicable information to control problem solving. Algorithms, for example, are a type of heuristic. By contrast, Metaheuristics are …
EPUB
Англійська
DRM
€991.11
Rafael Martí & Anna Martínez-Gavara: Discrete Diversity and Dispersion Maximization
This book demonstrates the metaheuristic methodologies that apply to maximum diversity problems to solve them. Maximum diversity problems arise in many practical settings from facility location to so …
PDF
Англійська
€128.39