Titlebook: Swarm, Evolutionary, and Memetic Computing; 4th International Co Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suga Conference proceedings

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Software Effort Estimation Using Functional Link Neural Networks Optimized by Improved Particle Swapace. The method has been evaluated exhaustively on different test suits of PROMISE repository to study the performance. The simulation results show that the ISO learning algorithm greatly improves the performance of FLANN and its variants for software development effort estimation.

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An Ant Colony Optimization Algorithm for the Min-Degree Constrained Minimum Spanning Tree Problem,odes in the graph. In this paper, we have proposed an ant colony optimization based approach to this problem. The proposed approach has been tested on Euclidean and random instances both. Computational results show the effectiveness of the proposed approach.

独特性

FEIGN

Conference proceedings 2013g, SEMCCO 2013, held in Chennai, India, in December 2013. The total of 123 papers presented in this volume was carefully reviewed and selected for inclusion in the proceedings. They cover cutting-edge research on swarm, evolutionary and memetic computing, neural and fuzzy computing and its applicati

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Gene Selection Using Multi-objective Genetic Algorithm Integrating Cellular Automata and Rough Set Leibler divergence method. A comparative study between proposed method and some leading feature selection methods are given using some popular microarray cancer dataset to demonstrate the effectiveness of the method.

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Improved Feature Selection Based on Particle Swarm Optimization for Liver Disease Diagnosis,timization (BPSO) is applied to get the best reduced feature set. The textual information obtained after feature reduction was used to train Probabilistic Neural Network (PNN). The results obtained from different transfer functions are analyzed and compared.

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Meta Heuristic Approaches for Circular Open Dimension Problem, one of the NP hard problems. It is very difficult to solve NP hard problems exactly, so the proposed approaches tries to give approximate solution within the stipulated time. The standard benchmark instances are used for comparison, and it is proved that firefly is giving the best solution.

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Reduction of Bullwhip Effect in Supply Chain through Improved Forecasting Method: An Integrated DWTressive Integrated Moving Average (ARIMA) and proposed model has been made. Further, the model is tested with demand data collected from two different manufacturing firms. It is observed that proposed model outperforms ARIMA model in respect to accurate estimation of demand and reduce BWE.