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Titlebook: Ant Colony Optimization and Swarm Intelligence; 5th International Wo Marco Dorigo,Luca Maria Gambardella,Thomas Stützle Conference proceedi

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Erratum to: Zoologische Beobachtungen,e. We propose an analytic approach to examining their impact on the speed of convergence of the algorithm. Some computational experiments are reported to show the practical relevance of the theoretical results.
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Covering a Continuous Domain by Distributed, Limited Robotsetween the robots. Apart from this, the robots have no means to communicate. Additionally they are memoryless, have no global information such as the domain map, own position, coverage percentage, etc. Despite the robots’ simplicity, we show that they are able to cover efficiently any connected domains, including non-planar ones.
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A Comparison of Particle Swarm Optimization Algorithms Based on Run-Length Distributionsibutions (RLDs). The advantage of our approach over the usual report pattern (average iterations to reach a predefined goal, success rates, and standard deviations) found in the current PSO literature is that it is possible to evaluate the performance of an algorithm on different application scenari
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