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Titlebook: Swarm, Evolutionary, and Memetic Computing; 4th International Co Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suga Conference proceedings

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Load Information Based Priority Dependant Heuristic for Manpower Scheduling Problem in Remanufacturpecial class of manpower scheduling problem with an added layer of restrictions. In this paper we propose a set of heuristics that make use of the concept of load information utilization. Several modifications have been incorporated on the basic framework and thorough comparison has been made betwee
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A Tree Based Chemical Reaction Optimization Algorithm for QoS Multicast Routing,ation creates a distribution tree structure, on which a multicast source sends a single copy of data to a group of receivers. QoS multicast routing is a non-linear combinatorial optimization problem which has been proved to be NP-complete, in which we try to find a multicast tree with minimized cost
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A New Improved Knowledge Based Cultural Algorithm for Reactive Power Planning,vestment required to satisfy suitable reactive power constraints for an acceptable performance level of a power system. Due to the discrete nature of reactive compensation devices, the given objective function leads to a nonlinear problem with combined (distinct and constant) variables. It is solved
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Optimal Stable IIR Low Pass Filter Design Using Modified Firefly Algorithm,ign of the 8th order infinite impulse response (IIR) low pass (LP) digital filter. This modified version of FFA is considered to achieve quality output response by means of properly tuned control parameters over conventional Firefly Algorithm (FFA). Newly defined randomization parameter and modifica
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Reducing Power Losses in Power System by Using Self Adaptive Firefly Algorithm,euristic numeric optimization algorithm inspired by the behavior of fireflies, appears to be a robust and reliable technique. This paper presents a self adaptive FA for the solution of the ELD problem. The proposed algorithm (PA) is applied to the standard IEEE 30 bus test system and the result are
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Parameter Adaptation in Differential Evolution Based on Diversity Control,al search is applied to aid convergence process. The mutation strategies involved are modified using random localized method of vector selection to enhance performance. The proposed methodology is applied to SaDE. The proposed Diversity Controlled Parameter adapted Differential Evolution with Local
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