Titlebook: Nature Inspired Cooperative Strategies for Optimization (NICSO 2007); Natalio Krasnogor,Giuseppe Nicosia,David Pelta Book 2008 Springer-Ve

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Honey Bees Mating Optimization Algorithm for the Vehicle Routing Problem,Routing Problem. The proposed algorithm for the solution of the Vehicle Routing Problem, the Honey Bees Mating Optimization (HBMOVRP), combines a Honey Bees Mating Optimization (HBMO) algorithm and the Multiple Phase Neighbor- hood Search — Greedy Randomized Adaptive Search Procedure (MPNS-GRASP) al

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Self-Organization on Silicon: System Integration of a Fixed-Point Swarm Coprocessor,s paper, the FPGA prototype of a digital architecture based on a bio-inspired coprocessor for fixed-point array processing is presented. The coprocessor is designed around a tiled architectures resorting to the principles of Swarm Intelligence to perform the assigned tasks with simultaneous adaptive

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Cooperative Co-evolution Inspired Operators for Classical GP Schemes,or for classical GP. Cooperative co-evolution techniques rely on the imitation of cooperative capabilities of natural populations and have been successfully applied in various domains to solve very complex optimization problems. It has been proved on several applications that the use of two fitness

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CODEA: An Architecture for Designing Nature-inspired Cooperative Decentralized Heuristics,d cooperative strategy, each search process has its own strategy for searching. Several of the most important decentralized cooperative strategies for heuristic solution procedures are nature-inspired. The cooperation scheme states when and how each individual process interchange information with ot

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