Titlebook: Nature-Inspired Optimizers; Theories, Literature Seyedali Mirjalili,Jin Song Dong,Andrew Lewis Book 2020 Springer Nature Switzerland AG 202

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Whale Optimization Algorithm: Theory, Literature Review, and Application in Designing Photonic Crys performance of WOA on several test functions and a real case study in the field of photonic crystal filter. The qualitative and quantitative results show that merits of this algorithm for solving a wide range of challenging problems.

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Moth-Flame Optimization Algorithm: Theory, Literature Review, and Application in Optimal Nonlinear ll known benchmark problems. Investigations presented in this chapter reveals the efficiency of the method and its benefits with respect to other numerical approaches. The chapter also consideres an in-depth literratur review and analysis of MFO.

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Genetic Algorithm: Theory, Literature Review, and Application in Image Reconstruction,rovements in the main component of this algorithm (selection, crossover, and mutation) are given too. The chapter also investigates the application of this technique in the field of image processing. In fact, the GA algorithm is employed to reconstruct a binary image from a completely random image.

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Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Netrst, average, and median accuracies. Furthermore, the convergence propensities are monitored and analyzed for all competitors. The experiments show that the ALOMLP outperforms GA, PBIL, DE, and PSO in classifying the majority of datasets and provides improved accuracy results and convergence rates.

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Shahrzad Saremi,Seyedehzahra Mirjalili,Seyedali Mirjalili,Jin Song Dongnt developments such as the Gunn effect, the acoustoelectric effect, superlattices, quantum well structures, and the quantum Hall effect are also discussed. The978-3-662-02663-2Series ISSN 0171-1873 Series E-ISSN 2197-4179