Abstract — This paper presents Evolutionary Optimization Tool (Evoptool), an optimization toolkit that implements a set of meta-heuristics based on the Evolutionary Computation paradigm. Evoptool provides a common platform for the development and test of new algorithms, in order to facilitate the performance comparison activity. The toolkit offers a wide set of benchmark problems, from classical toy examples to com-plex tasks, and a collection of implementations of algorithms from the Genetic Algorithms and Estimation of Distribution Algorithms paradigms. Evoptool is flexible and easy to extend, also with algorithms based on other approaches that go beyond Evolutionary Computation. I
Abstract Evolutionary Computation (EC), a collective name for a range of metaheuristic black-box opt...
This book constitutes the refereed proceedings of the International Conference on the Applications o...
Evolutionary processes have attracted considerable interest in recent years for solving a variety of...
The task of this thesis was focused on comparison selected evolutionary algorithms for their success...
Despite the continuous advancement of Evolutionary Algorithms (EAs) and their numerous successful ap...
Abstract:- Evolutionary algorithms (EAs) are popular general purpose optimisation methods. According...
This book is intended as a reference both for experienced users of evolutionary algorithms and for r...
Evolutionary algorithm (EA) is an umbrella term used to describe population-based stochastic direct ...
Evolutionary Algorithms (EAs) are meta-heuristics based on the natural evolution of living beings. W...
Optimization in dynamic environments is a challenging but important task since many real-world optim...
Nowadays the possibilities of evolutionary algorithms are widely used in many optimization and class...
This book compares the performance of various evolutionary computation (EC) techniques when they are...
This book constitutes the refereed conference proceedings of the 18th International Conference on th...
Evolutionary algorithms belongs among the youngest and the most progressive methods of solving diffi...
Optimization in dynamic environments is a challenging but important task since many real-world optim...
Abstract Evolutionary Computation (EC), a collective name for a range of metaheuristic black-box opt...
This book constitutes the refereed proceedings of the International Conference on the Applications o...
Evolutionary processes have attracted considerable interest in recent years for solving a variety of...
The task of this thesis was focused on comparison selected evolutionary algorithms for their success...
Despite the continuous advancement of Evolutionary Algorithms (EAs) and their numerous successful ap...
Abstract:- Evolutionary algorithms (EAs) are popular general purpose optimisation methods. According...
This book is intended as a reference both for experienced users of evolutionary algorithms and for r...
Evolutionary algorithm (EA) is an umbrella term used to describe population-based stochastic direct ...
Evolutionary Algorithms (EAs) are meta-heuristics based on the natural evolution of living beings. W...
Optimization in dynamic environments is a challenging but important task since many real-world optim...
Nowadays the possibilities of evolutionary algorithms are widely used in many optimization and class...
This book compares the performance of various evolutionary computation (EC) techniques when they are...
This book constitutes the refereed conference proceedings of the 18th International Conference on th...
Evolutionary algorithms belongs among the youngest and the most progressive methods of solving diffi...
Optimization in dynamic environments is a challenging but important task since many real-world optim...
Abstract Evolutionary Computation (EC), a collective name for a range of metaheuristic black-box opt...
This book constitutes the refereed proceedings of the International Conference on the Applications o...
Evolutionary processes have attracted considerable interest in recent years for solving a variety of...