Memetic Algorithms (MAs) are computational intelligence structures combining multiple and
various operators in order to address optimization problems. The combination and …

Memetic Algorithms (MAs) are computational intelligence structures combining multiple and
various operators in order to address optimization problems. The diversity in the operator …

This paper proposes a modeling of data networks with delay, packet loss ratio and network
cost and an optimization of them using genetic algorithm. The network delay is expressed in …

The objective of this paper is to present a novelmethod for achievingmaximumreliability in
fault-tolerant optimal network design when networks have variable size. Reliability …

This work presents a new multiple objective evolutionary algorithm to solve three well known
network reliability allocation problems considering different conflicting objectives to be …

A new multi-objective evolutionary algorithm is proposed to solve the all-terminal network
reliability design problem considering different conflicting objectives. The objective functions …

This volume is a collection of selected papers that were presented at the international
conference Model-Based Reasoning in Science and Technology. Abduction, Logic, and …

Ant colony optimization (ACO) algorithms can generate quality solutions to combinatorial
optimization problems. However, like many stochastic algorithms, the quality of solutions …