C Blum, A Roli - ACM computing surveys (CSUR), 2003 - dl.acm.org
The field of metaheuristics for the application to combinatorial optimization problems is a rapidly growing field of research. This is due to the importance of combinatorial optimization …
Recent advances in neural architecture search (NAS) demand tremendous computational resources, which makes it difficult to reproduce experiments and imposes a barrier-to-entry …
In recent years, the research community has witnessed an explosion of literature dealing with the mimicking of behavioral patterns and social phenomena observed in nature towards …
It has long been observed that for practically any computational problem that has been intensely studied, different instances are best solved using different algorithms. This is …
This is the second edition of our 2003 book. It is primarily a book for lecturers and graduate and undergraduate students. To this group the book offers a thorough introduction to …
The problem of complex adaptations is studied in two largely disconnected research traditions: evolutionary biology and evolutionary computer science. This paper summarizes …
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is devoted to a new paradigm for evolutionary computation, named estimation of distribution algorithms …
K De Jong - Proceedings of the Genetic and Evolutionary …, 2017 - dl.acm.org
Proceedings of the Genetic and Evolutionary Computation Conference Companion: Evolutionary computation: a unified approach Page 1 1 Evolutionary Computation: A …
Genetic Algorithms (GAs) have become a highly effective tool for solving hard optimization problems. As their popularity has increased, the number of GA applications has grown in …