We propose a new nature inspired metaheuristic approach based on the V flight formation of
the migrating birds which is proven to be an effective formation in energy saving. Its …

In this paper, we present a hybrid genetic-hierarchical algorithm for the solution of the
quadratic assignment problem. The main distinguishing aspect of the proposed algorithm is …

Network routers occupy a key role in modern data transport and consequently are attractive
targets for attackers. By manipulating, diverting or drop** packets arriving at a …

A differential improvement modification to Hybrid Genetic Algorithms is proposed. The
general idea is to perform more extensive improvement algorithms on higher quality …

The quadratic assignment problem is reviewed in this chapter. Weights between pairs of
facilities and distances between the same number of locations are given. The problem is to …

The paper focuses on the opportunity of the application of the quantum-inspired evolutionary
algorithm for determining minimal costs of the assignment in the quadratic assignment …

Abstract [eng] Many researches on different heuristic approaches can be found for the
solution of the vehicle routing problem (VRP), where specific situations and constraints are …

Abstract We consider the Multilevel Uncapacitated Facility Location Problem (MLUFLP) and
propose a new efficient integer programming formulation of the problem that provides …

Quadratic assignment problem (QAP) is a hard and classical combinatorial optimization
problem. Simulated annealing algorithm has been successfully applied to solve QAP …

Genetic algorithms (GAs) are a modern class of the metaheuristic methods that have been
applied for the solution of different combinatorial optimization problems, among them, the …