We provide a tutorial survey of connections between genetic algorithms and scatter search that have useful implications for developing new methods for optimization problems. The links between these approaches are rooted in principles underlying mathematical relaxations, which became inherited and extended by scatter search. Hybrid methods incorporating elements of genetic algorithms and scatter...

Scatter search is an evolutionary method that shares with genetic algorithms, a well-known evolutionary approach, the employment of a combination method that combines the features of two parent vectors to form several offspring. Furthermore, it uses improvement strategies to efficiently produce the local tuning of the solutions. An important aspect concerning scatter search is the trade-off bet...

–The evolutionary approach called scatter search, and its generalized form called path relinking, originated from strategies for creating composite decision rules and surrogate constraints. Recent studies demonstrate the practical advantages of these approaches for solving a diverse array of optimization problems from both classical and real world settings. Scatter search and path relinking con...

Most Data Mining tasks are performed by the application of Machine Learning techniques. Metaheuristic approaches are becoming very useful for designing efficient tools in Machine Learning. Metaheuristics are general strategies to design efficient heuristic procedures. Scatter Search is a recent metaheuristic that has been successfully applied to solve standard problems in three central paradigm...

I came up with the idea of editing this volume in the summer of 2002 while working on the book "Scatter search methodologies and implementations in C" with Manuel Laguna in the University of Colorado at Boulder. There, Fred Glover kindly let me use his office, where I found a copy of the "Tabu Search Methods for Optimization" special issue that he edited in 1988 for the European Journal of Oper...

This paper presents an approach for the automated cryptanalysis of substitution ciphers based on a recent evolutionary metaheuristic called Scatter Search. It is a population-based metaheuristic founded on a formulation proposed two decades ago by Fred Glover. It uses linear combinations on a population subsets to create new solutions while other evolutionary approaches like genetic algorithms ...

The evolutionary approach called Scatter Search, and its generalized form called Path Relinking, have proved unusually effective for solving a diverse array of optimization problems from both classical and real world settings. Scatter Search and Path Relinking differ from other evolutionary procedures, such as genetic algorithms, by providing unifying principles for joining solutions based on g...