In this paper we propose a parallel memetic algorithm which combines population-based method with guided local search (GLS) procedure. In the proposed algorithm, a GLS procedure is applied to each solution generated by genetic operations. The performance of proposed method compared with parallel genetic approaches (i.e. global model, migration model for GA). The parallel implementation is based...

in this paper we tried to analyze the relationship between migration, informal settlement, and unemployment in ahvaz as the regional metropolis of khuzestan state. unemployment and migration interaction effect with each other. because on the one hand unequal distribution facilities and services leads to unemployment and job for people, the other hand, mass unemployment in section of the workfor...

In this work a parallel multi-objective genetic algorithm is presented. The population selection and mating phase is kept distinct from the population fitness evaluation loop, that is implemented in parallel. The population can be logically split in subpopulations which number does not depend on the number of processors available for computation. Different sub-population topologies and migratio...

This paper assumes each user has more than one queue, derives a new packet dependent proportional fairness power allocation pattern based on the sum of weight capacity and the packet’s priority in users’ queues, and proposes 4 new schemes of cross-layer packet dependent OFDM scheduling for heterogeneous classes of traffic based on proportional fairness. Scenario 1, scenario 2 and scenario 3 lea...

The Distributed Differential Evolution (dDE) algorithm is a natural extension of the Differential Evolution (DE) algorithm, which is a recent addition to the Evolutionary Algorithms (EAs) pool, in the Evolutionary Computing (EC) field of computer science. The algorithmic novelty of the dDE algorithm is well evident in the literature. However, the theoretical studies on the performance of the dD...

Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm and one of meta-heuristic algorithms. This technique is based on an old mathematical study that explains the geographical distribution of biological organisms. The first original form of BBO was introduced in 2008 and known as a partial migration based BBO. Few months later, BBO was re-introduced again with a...