In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …

Стрімке розширення сфер застосування методів математи чного моделювання й
оптимізації, що відбувається в останні роки, формує потребу в розв'язуванні нових …

Introductory courses in combinatorial optimization are popular at the upper undergraduate/
graduate levels in computer science, industrial engineering, and business management/OR …

When we decided to write this book, we asked ourselves whether we could try and unify
everything that we have studied and developed under a same roof, where a reader could …

RIPPER is certainly one of the best rule induction algorithms. In RIPPER, the order in which
the rules are learned is important because the first rule to be fired determines the class of the …

An optimization problem on a set of Euclidean combinatorial configurations is formulated.
Peculiarities of applying genetic algorithms to solving this class of problems are explored …

Bio-inspired computational algorithms can be effectively employed to develop games for
learning. In the present paper we will introduce different approaches to embed this kind of …

The bandwidth, average bandwidth, envelope, profile and antibandwidth of the matrices
have been the subjects of study for at least 45 years. These problems have generated …

In metaheuristic algorithms, such as Particle Swarm Optimization (PSO) and Genetic
Algorithm (GA), it is common to deal with a problem known as premature convergence. It …

In quasi-one-dimensional circularly symmetric systems of active particles, experiments and
simulations reveal an indirect interplay between particles and environmental drag effects …