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Titlebook: Variants of Evolutionary Algorithms for Real-World Applications; Raymond Chiong,Thomas Weise,Zbigniew Michalewicz Book 20121st edition Spr

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Simulation-Based Evolutionary Optimization of Complex Multi-Location Inventory Modelss. A common strategy in such cases is a simulation-based optimization approach, which requires the complete simulation of the system to evaluate its configuration. This principle is introduced using the example of hub-and-spoke inventory systems. By comparing evolutionary approaches with Particle Sw
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A Fuzzy-Evolutionary Approach to the Problem of Optimisation and Decision-Support in Supply Chain Nealises in the area of manufacturing agricultural chemicals. It takes into account sourcing of raw material, the processing of material, and the distribution of the final product. The difficulty of meeting order demand and balancing the plants’ utilisation while adhering to capacity constraints is ad
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A Genetic-Based Solution to the Task-Based Sailor Assignment Problems the performance of a widely used multi-objective evolutionary algorithm (MOEA), namely NSGA-II, on large instances of this problem. The performance of the evolutionary algorithm is examined with respect to both solution quality and diversity and has shown to provide inadequate diversity along the
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A Fitness Granulation Approach for Large-Scale Structural Design Optimizatione design variables, and the high computational cost of the finite element simulations needed to evaluate the fitness of candidate solutions. Evolutionary algorithms are ruled by competitive games of survival and not merely by absolute measures of fitness. They can also exploit the robustness of evol
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