Titlebook: Applications of Metaheuristics in Process Engineering; Jayaraman Valadi,Patrick Siarry Book 2014 Springer International Publishing Switzer

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https://doi.org/10.1007/978-3-319-06508-3Chemical process engineering; Computational intelligence; Evolutionary computing; Metaheuristics; Optimi

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Metaheuristics in Process Engineering: A Historical Perspective,30 years. The first part of this chapter describes some fundamental characteristics of metaheuristics, a class of global stochastic methods and also provides the standard description of some of the most widely used metaheuristics such as simulated annealing, tabu search, genetic algorithms, and ant

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Applications of Genetic Algorithms in Chemical Engineering I: Methodology,m (GA). Its inherent parallelism has enabled significant computational improvement over deterministic enumerations. Further, it has provided a flexibility of solving multiple objectives in a derivative-free environment. These advantages are extremely useful for solving optimization problems in chemi

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Swarm Intelligence in Pulp and Paper Process Optimization, exhibit complex collective behavior despite the simplicity of the individuals that make up the swarm. Models of these systems have been used successfully to solve difficult and complex real world optimization problems. This chapter focuses on the model inspired by the intelligent foraging behavior

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Particle Swarm Optimization Technique for the Optimal Design of Plate-Type Distillation Column,te-type distillation column from economic point of view. The optimization procedure involves the selection of the major plate geometric parameters such as hole diameters, ratio of downcomer area to tower area, weir height, fractional hole area in tray, tray spacing, tower diameter, etc. and minimiza

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