M
Manuel Laguna
Researcher at University of Colorado Boulder
Publications - 166
Citations - 15506
Manuel Laguna is an academic researcher from University of Colorado Boulder. The author has contributed to research in topics: Tabu search & Metaheuristic. The author has an hindex of 52, co-authored 165 publications receiving 14902 citations. Previous affiliations of Manuel Laguna include Pompeu Fabra University & University of Valencia.
Papers
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Book
Tabu Search
Fred Glover,Manuel Laguna +1 more
TL;DR: This book explores the meta-heuristics approach called tabu search, which is dramatically changing the authors' ability to solve a host of problems that stretch over the realms of resource planning, telecommunications, VLSI design, financial analysis, scheduling, spaceplanning, energy distribution, molecular engineering, logistics, pattern classification, flexible manufacturing, waste management,mineral exploration, biomedical analysis, environmental conservation and scores of other problems.
Journal Article
Fundamentals of Scatter Search and Path Relinking
TL;DR: The features of Scatter Search and Path Relinking are described, which set them apart from other evolutionary approaches, and that offer opportunities for creating increasingly more versatile and effective methods in the future.
Book
Scatter Search: Methodology and Implementations in C
Manuel Laguna,Rafael Martí +1 more
TL;DR: The basic principles and fundamental ideas that will allow the readers to create successful applications of scatter search are provided and the C source code of the methods introduced in each chapter is included.
Journal ArticleDOI
Fine-Tuning of Algorithms Using Fractional Experimental Designs and Local Search
TL;DR: The development of CALIBRA is described, a procedure that attempts to find the best values for up to five search parameters associated with a procedure under study and is able to find parameter values that either match or improve the performance of the procedures resulting from using the parameter values suggested by their developers.
Journal ArticleDOI
Principles of scatter search
TL;DR: This paper provides the main principles and ideas of scatter search and its generalized form path relinking and describes a basic design to give the reader the tools to create relatively simple implementations.