Nature inspired metaheuristic algorithms second edition pdf

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nature inspired metaheuristic algorithms second edition pdf

[PDF] Nature-Inspired Metaheuristic Algorithms: Second Edition - Semantic Scholar

The search for reliable and efficient global optimization algorithms for solving phase stability and phase equilibrium problems in applied thermodynamics is an ongoing area of research. In this study, we evaluated and compared the reliability and efficiency of eight selected nature-inspired metaheuristic algorithms for solving difficult phase stability and phase equilibrium problems. The results clearly showed that CS is the most reliable of all methods as it successfully solved all thermodynamic problems tested in this study. CS proved to be a promising nature-inspired optimization method to perform applied thermodynamic calculations for process design. Applied thermodynamic calculations in chemical engineering often involve the repeated solution of phase stability and phase equilibrium problems as their solutions are needed during the design of several equipment and separation processes. These problems can be formulated as minimization problems, for which the global minimum represents the required result. These calculations are challenging due to the high nonlinearity of thermodynamic models used to describe the equilibrium phases, the potential nonconvexity of the thermodynamic functions used as objective, and the presence of trivial solutions in the feasible search space.
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Multiobjective Optimization Using Metaheuristics (Lecture-1)

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In the last two decades, metaheuristic algorithms have attracted strong attention in scientific communities with significant developments, especially in areas concerning swarm intelligence based algorithms. In this work, we will briefly review some of the important achievements in metaheuristics, and we will also discuss key implications in applications and topics for further research. Unable to display preview. Download preview PDF. Skip to main content. Advertisement Hide.

N ature-Inspired MetaheuristicAlgorithms. SecondEdition (). Xin-She Yang c Luniver Press. Nature-Inspired. Metaheuristic Algorithms. Second Edition.
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1. Introduction

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3 thoughts on “Nature-Inspired Optimization Algorithms - 1st Edition

  1. Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization.

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