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Titlebook: Swarm, Evolutionary, and Memetic Computing; First International Bijaya Ketan Panigrahi,Swagatam Das,Subhransu Sekh Conference proceedings

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Power Mutation Embedded Modified PSO for Global Optimization Problems, evaluate the performance of the proposed variations. Experimental results show that the proposed MPMPSO outperforms the existing method on most of the test functions in terms of convergence and solution quality.
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Adaptive and Accelerated Exploration Particle Swarm Optimizer (AAEPSO) for Solving Constrained Multve benchmark functions (CEC 2009) and compared with recently proposed DECMOSA algorithm. The comprehensive experimental results show the effectiveness of the proposed algorithm in terms of generation distance, diversity and convergence metric.
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Empirical Study on Migration Topologies and Migration Policies for Island Based Distributed Differeogy based distributed differential evolution variants on the chosen problem has also been demonstrated. Six different migration policies are experimented for ring topology, and their performances are reported.
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A Population Adaptive Differential Evolution Strategy to Light Configuration Optimization of Photomnormally distributed. Uncertainty is defined as the expectation of squared distance of scaled normal to the ground truth. This metric is optimized with respect to the illumination angles at constant slant angle. Superiority of the new method is demonstrated by comparing it with sensitivity analysis and classical DE.
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Conference proceedings 2010–– 18, 2010 at SRM University, Chennai, in India. SEMCCO 2010 marked the beginning of a prestigious international conference series that aims at bringing together researchers from academia and industry to report and review the latest progress in the cutting-edge research on swarm, evolutionary, and
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