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Adaptive and Multilevel Metaheuristics
Biased Random-Key Genetic Progamming
Data Mining in Stochastic Local Search
Evolution Strategies
Matheuristics
Multi-start Methods
Multiobjective Optimization
Restart Strategies
Constraint-Based Local Search
Guided Local Search
Theory of Local Search
Variable Neighborhood Descent
Ant Colony Optimization: A Component-Wise Overview
Evolutionary Algorithms
Genetic Algorithms
GRASP
Hyper-Heuristics
Iterated Greedy
Iterated Local Search
Memetic Algorithms
Particle Swarm Methods
POPMUSIC
Random-Key Genetic Algorithms
Scatter Search
Tabu Search
Variable Neighborhood Search
A History of Metaheuristics
Parallel Meta-heuristic Search
Theoretical Analysis of Stochastic Search Algorithms
City Logistics
Cutting and Packing
Diversity and Equity Models
Evolutionary Algorithms for the Inverse Protein Folding ProblemLinear Layout Problems
Maritime Container Terminal Problems
Metaheuristics for Medical Image Registration
Metaheuristics for Natural Gas Pipeline Networks
Network Optimization
Optimization Problems, Models, and Heuristics in Wireless Sensor Networks
Particle Swarm Optimization for the Vehicle Routing Problem: A Survey and a Comparative Analysis
Scheduling Heuristics
Selected String Problems
Supply Chain Management
The Maximum Clique and Vertex Coloring
The multi-plant lot sizing problem with multiple periods and itemsTrees and Forests
World’s Best Universities and Personalized Rankings
Rafael Martí is Professor of Statistics and Operations Research at the University of Valencia, Spain. He received a doctoral degree in Mathematics from the University of Valencia in 1994. He has done extensive research in metaheuristics for hard optimization problems. Dr Martí has about 200 publications, half of them in indexed journals (JCR), including EJOR, Informs JoC, IIE Transactions, JOGO, C&OR, and Discrete and Applied Maths. He is the co-author of several monographic books: Scatter Search (Kluwer 2003), The Linear Ordering Problem (Springer 2011), and Metaheuristics for Business Analytics (Springer 2018), and has secured an American patent. Prof. Martí is currently Area Editor in the Journal of Heuristics, Associate Editor in the Math. Prog. Computation, and the Int. Journal of Metaheuristics. He is Senior Research Associate of OptTek Systems (USA), and has given about 50 invited and plenary talks. Dr. Martí has been invited Professor at the University of Colorado (USA), University of Molde (Norway), University of Graz (Austria), and University of Bretagne-Sud (France). He coordinates the Spanish Network on Metaheuristics, currently funded as a SEIO working group.
Panos Pardalos is a Distinguished Professor and the Paul and Heidi Brown Preeminent Professor in the Departments of Industrial and Systems Engineering at the University of Florida, and a world renowned leader in Global Optimization, Mathematical Modeling, and Data Sciences. He is a Fellow of AAAS, AIMBE, and INFORMS and was awarded the 2013 Constantin Caratheodory Prize of the International Society of Global Optimization. In addition, Dr. Pardalos has been awarded the 2013 EURO Gold Medal prize bestowed by the Association for European Operational Research Societies. This medal is the preeminent European award given to Operations Research (OR) professionals for "scientific contributions that stand the test of time." Dr. Pardalos is also a Foreign Member of the Lithuanian Academy of Sciences, the Royal Academy of Spain, and the National Academy of Sciences of Ukraine. He is the Founding Editor of Optimization Letters, Energy Systems, and Co-Founder of the International Journal of Global Optimization. He has published over 500 papers, edited/authored over 200 books and organized over 80 conferences.
Mauricio G. C. Resende grew up in Rio de Janeiro (BR), West Lafayette (IN-US), and Amherst (MA-US). He did his undergraduate training in electrical engineering (systems engineering concentration) at the Pontifical Catholic U. of Rio de Janeiro. He obtained an MS in operations research from Georgia Tech and a PhD in operations research from the U. of California, Berkeley. He is most known for his work with metaheuristics, in particular GRASP and biased random-key genetic algorithms, as well as for his work with interior point methods for linear programming and network flows. Dr. Resende has published over 200 papers on optimization and holds 15 U.S. patents. He has edited four handbooks, including the Handbook of Heuristics, the Handbook of Applied Optimization, and the Handbook of Optimization in Telecommunications, and is coauthor of the book “Optimization by GRASP.” He sits on the editorial boards of several optimization journals, including Networks, J. of Global Optimization, R.A.I.R.O., and International Transactions in Operational Research. Prior to joining Amazon.com in 2014 as a Principal Research Scientist in the transportation area, Dr. Resende was a Lead Inventive Scientist at the Mathematical Foundations of Computing Department of AT&T Bell Labs and at the Algorithms and Optimization Research Department of AT&T Labs Research in New Jersey. Since 2016, Dr. Resende is also Affiliate Professor of Industrial and Systems Engineering at the University of Washington in Seattle
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