Titlebook: Heuristics for Optimization and Learning; Farouk Yalaoui,Lionel Amodeo,El-Ghazali Talbi Book 2021 The Editor(s) (if applicable) and The Au

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An Asynchronous Parallel Evolutionary Algorithm for Solving Large Instances of the Multi-objective alized parallel algorithm and two state-of-the-art island-based models in the resolution of the MQAP. Results show that according to four multi-objectives metrics, APM-MOEA outperforms all implementations in terms of convergence or diversity.

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Hybridization of the Differential Evolution Algorithm for Continuous Multi-objective Optimization,thms in the literature (NSDE, DEMO and ADE-MOIA) in terms of solution convergence and dispersion on the Pareto-optimal?front. These other algorithms were reproduced and tested in the same experimental conditions.

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A Steganographic Embedding Scheme Using Improved-PSO Approach,he quality of the original image. Thus, the robustness of the proposed steganographic scheme relates strongly on the strength of the improved-PSO algorithm in order to achieve higher imperceptibility. Three test cases were undertaken to highlight the performance of the improved-PSO embedding scheme.

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A New Cut-Based Genetic Algorithm for Graph Partitioning Applied to Cell Formation,is new GA in comparison to some approaches taken from the literature when they are applied to a set of medium sized instances. Given the results we obtained, it is reasonable to assume that the new GA will provide similar results for large real-life instances.

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