Titlebook: Artificial Immune Systems; 9th International Co Emma Hart,Chris McEwan,Andy Hone Conference proceedings 2010 Springer-Verlag Berlin Heidelb

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A Faster Clonal Selection Algorithm for Expensive Optimization Problemsms. In this paper we propose the use of a similarity-based surrogate model in conjunction with a clonal selection algorithm in order to improve its performance when solving optimization problems involving computationally expensive objective functions. Computational experiments to assess the performa

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An Information-Theoretic Approach for Clonal Selection Algorithmshe ability to escape from a local optimal of a clonal selection algorithm, called .. The algorithm was extensively compared against several variants of . (DE) algorithm, and with some typical swarm intelligence algorithms. The obtained results show as . is effective in terms of accuracy, and it is a

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GAIS: A Gaussian Artificial Immune System for Continuous Optimizationolution vector) in continuous optimization problems. By replacing the mutation and cloning operators with a probabilistic model, more specifically a Gaussian network representing the joint distribution of promising solutions, GAIS takes into account the relationships among the variables of the probl

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An Immune Algorithm for Minimum Interference Channel Assignment in Multi-radio Wireless Mesh Networkrly assign different channels (i.e. frequency bands) to each radio interface to form a mesh network with minimum interference. The channel assignment must obey the constraints that the number of different channels assigned to a router is at most the number of interfaces on the router, and the result

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A Developmental and Immune-Inspired Dynamic Task Allocation Algorithm for Microprocessor Array Syste microprocessor (.P) array, a program is partitioned into a number of workload oriented tasks with data dependencies and a number of internal status-oriented tasks. Each .P in the array is capable of processing one of these tasks. The algorithm assigns tasks to the .P array that satisfies the requir

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,Versuchsanordnung und Me?programm, make aging useful, and implementation details. While implementation details seem to be the least important part they can have a surprisingly huge impact. This is proven by means of theoretical analysis for a carefully constructed example problem as well as thorough experimental investigations of aging for this problem.