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Titlebook: Unconventional Computation; 6th International Co Selim G. Akl,Cristian S. Calude,H. Todd Wareham Conference proceedings 2007 Springer-Verla

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Principles of Stochastic Local Searchn be used to improve the success probability of local search by focussing the search process on specific neighbor states. Our main contribution is a result which states that stochastic local search using restarts has a provable complexity advantage compared to deterministic local search. An importan
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Spatial and Temporal Resource Allocation for Adaptive Parallel Genetic Algorithmatially it is achieved for the parallel genetic algorithm by the partitioning of the search space into many subspaces. Search for solution is performed in each subspace by a genetic algorithm which domain of chromosomes is restricted inside that particular subspace. This spatial allocation of comput
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Binary Ant Colony Algorithm for Symbol Detection in a Spatial Multiplexing Systemormance with acceptable increase in computational complexity in comparison with VBLAST. The reported algorithm reduces the computer time requirement by as much as 94% over exhaustive search method with a reasonable BER performance.
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Taming Non-compositionality Using New Binders. We illustrate the potential benefits of our approach with a study of a quantum computing language in which these new binders prove meaningful. We introduce a typing system for this quantum computing framework in which linearity is only required for concrete quantum bits offering a greater expressiveness than previous propositions.
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