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  • chapterNo Access

    Multi-Objective Optimization Applications in Chemical Engineering

    Multi-objective optimization (MOO) has received considerable attention from researchers in chemical engineering. Bhaskar et al. (2000a) have reviewed reported applications of MOO in chemical engineering until 2000. In this chapter, nearly hundred MOO applications in chemical engineering reported in journals from 2000 until mid 2007 are reviewed briefly. These are categorized into five groups: (1) process design and operation, (2) biotechnology and food industry, (3) petroleum refining and petrochemicals, (4) pharmaceuticals and other products/processes, and (5) polymerization. However, applications reported in this book are not included in this review.

  • chapterNo Access

    Chapter 2: Multi-Objective Optimization Applications in Chemical Engineering

    Multi-objective optimization (MOO) has received considerable attention from researchers in chemical engineering. Bhaskar et al. (2000a) have reviewed reported applications of MOO in chemical engineering until 2000. In this chapter, nearly hundred MOO applications in chemical engineering reported in journals from 2000 until mid 2007 are reviewed briefly. These are categorized into five groups: (1) process design and operation, (2) biotechnology and food industry, (3) petroleum refining and petrochemicals, (4) pharmaceuticals and other products/processes, and (5) polymerization. Applications reported in this book are not included in this review.

  • chapterNo Access

    Chapter 2: Differential Evolution: Method, Developments and Chemical Engineering Applications

    This chapter describes differential evolution (DE), its parameters and their values. Then, proposed modifications to various components of DE algorithm until the year 2009 are summarized; these modifications have improved DE capabilities for tackling a variety of optimization problems. Finally, chemical engineering applications of DE reported until the year 2009 are reviewed. In particular, DE has found many applications for parameter estimation and modeling in addition to process design and operation. Further developments and applications of DE since the year 2009 are outlined in Chapter 1. Given these developments and applications, DE is attractive and useful both as a simple general optimizer and as a sophisticated tool to solve complex chemical engineering applications.