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

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Benign

Nurse Rostering Using Modified Harmony Search Algorithm,gning given shifts to given nurses. Using a dataset established by International Nurse Rostering Competition 2010 of sprint dataset that has 10-early, 10-late, 10-hidden, and 3-hint. The proposed method achieved competitively comparable results.

corpus-callosum

multiply

Data Clustering Based on Teaching-Learning-Based Optimization, user specified number of clusters. The new TLBO algorithms are evaluated on some datasets and compared to the performance of K-means and PSO clustering. Results show that TLBO clustering techniques have much potential.

Blemish

Conference proceedings 2011ewed and selected from 422 submissions. The papers explore new application areas, feature new bio-inspired algorithms for solving specific hard optimization problems, and review the latest progresses in the cutting-edge research with swarm, evolutionary, and memetic computing in both theoretical and practical aspects.

脊椎动物

Register Allocation via Graph Coloring Using an Evolutionary Algorithm,e solution presented in this paper (RAGCES) is based on the graph coloring too; for coloring interference graph, evolutionary algorithm is used. In this method graph coloring and selecting variables for spilling is taken place at the same time. This method was tested on several graphs and results we

珊瑚

SEVER

Exploration Strategies for Learning in Multi-agent Foraging,edge. The agent must therefore have to choose between exploiting its current knowledge or exploring other alternatives to improve its knowledge for better decisions in the future. This paper presents critical analysis on a number of exploration strategies reported in the open literatures. Exploratio

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