Titlebook: Swarm, Evolutionary, and Memetic Computing, Part II; Second International Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suga Conference pro

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Towards Cost-Effective Bio-inspired Optimization: A Prospective Study on the GPU Architecture,canonical GA. The results show that there is an effective gain in the data parallel model provided by modern GPU’s and enhanced by high level languages such as OpenCL. In the reported experiments it was possible to obtain a speedup higher than 140 thousand times for a population’s size of 262 144 in

Expressly

Cricket Team Selection Using Evolutionary Multi-objective Optimization, optimization problem. In cricket team formation, batting strength and bowling strength of a team are the major factors affecting its performance and an optimum trade-off needs to be reached in formation of a good team. We propose a multi-objective approach using NSGA-II algorithm to optimize overal

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Data Clustering Using Harmony Search Algorithm,centers has captured the attention of the clustering communities for quite a long time. In this study, the new evolutionary algorithm, Harmony Search (HS), is proposed as a new method aimed at addressing this problem. The proposed approach consists of two stages. In the first stage, the HS explores

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Application of Swarm Intelligence to a Two-Fold Optimization Scheme for Trajectory Planning of a Ronce and industries. In this paper the problem of motion planning has been dealt with in two stages, first by developing appropriate cost functions to determine a set of via points and then fitting an optimal energy trajectory. Lbest Particle Swarm Optimization has been used to solve the minimization

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Two Hybrid Meta-heuristic Approaches for Minimum Dominating Set Problem,g set is proven to be the optimal approximate algorithm unless . = .. Meta-heuristics, generally, find solutions better than simple greedy approximate algorithms as they explore the search space better without incurring the cost of an exponential algorithm. However, there are hardly any studies of a

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Automatic Clustering Based on Invasive Weed Optimization Algorithm,aset without any prior information about the number of naturally occurring groups in the data. The fitness function used in the genetic algorithm is a cluster validity index. Depending on the results of this index IWO returns the segmented dataset along with the appropriate number of divisions. The

Armory

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Taboo Evolutionary Programming Approach to Optimal Transfer from Earth to Mars,mplemented in many complex problems in science and technology to find the optimum solutions with constraints. In this paper, we studied a two-point boundary value problem such as Lambert conic determination to find out the optimum impulsive requirements for Earth to Mars transfer from a Geo stationa