Multi-objective optimization in chemical engineering (Record no. 58373)

MARC details
000 -LEADER
fixed length control field 03865nam a22002897a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20210826124646.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210826b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978118341667
028 ## - DISTRIBUTOR NAME
Distributor Name ;Donated by J P Gupta
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 660 RAN
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Rangaiah, Gade Pandu
-- Bonilla-Petriciolet, Adrian
245 ## - TITLE STATEMENT
Title Multi-objective optimization in chemical engineering
Remainder of title : developments and applications
Statement of responsibility, etc / Gade Pandu Rangaiah; Adri?n Bonilla-Petriciolet
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc New York
Name of publisher, distributor, etc : Wiley,
Date of publication, distribution, etc 2013.
300 ## - PHYSICAL DESCRIPTION
Extent xvi,, 512p.
Dimensions 24cm.
365 ## - TRADE PRICE
Price amount Donated
505 ## - FORMATTED CONTENTS NOTE
Contents note Multi-Objective Optimizationin Chemical Engineering; Contents; List of Contributors; Preface; Part I Overview; 1 Introduction; 1.1 Optimization and Chemical Engineering; 1.2 Basic Definitions and Concepts of Multi-Objective Optimization; 1.3 Multi-Objective Optimization in Chemical Engineering; 1.4 Scope and Organization of the Book; References; 2 Optimization of Pooling Problems for Two Objectives Using the e-Constraint Method; 2.1 Introduction; 2.2 Pooling Problem Description and Formulations; 2.2.1 p-Formulation; 2.2.2 r-Formulation; 2.3 e-Constraint Method and IDE Algorithm. 2.4 Application to Pooling Problems2.5 Results and Discussion; 2.6 Conclusions; Exercises; References; 3 Multi-Objective Optimization Applications in Chemical Engineering; 3.1 Introduction; 3.2 MOO Applications in Process Design and Operation; 3.3 MOO Applications in Petroleum Refining, Petrochemicals and Polymerization; 3.4 MOO Applications in the Food Industry, Biotechnology and Pharmaceuticals; 3.5 MOO Applications in Power Generation and Carbon Dioxide Emissions; 3.6 MOO Applications in Renewable Energy; 3.7 MOO Applications in Hydrogen Production and Fuel Cells; 3.8 Conclusions; Acronyms. 5 Improved Constraint Handling Technique for Multi-Objective Optimization with Application to Two Fermentation Processes5.1 Introduction; 5.2 Constraint Handling Approaches in Chemical Engineering; 5.3 Adaptive Constraint Relaxation and Feasibility Approach for SOO; 5.4 Adaptive Relaxation of Constraints and Feasibility Approach for MOO; 5.5 Testing of MODE-ACRFA; 5.6 Multi-Objective Optimization of the Fermentation Process; 5.6.1 Three-Stage Fermentation Process Integrated with Cell Recycling; 5.6.2 Three-Stage Fermentation Process Integrated with Cell Recycling and Extraction. 5.6.3 General Discussion5.7 Conclusions; Acronyms; References; 6 Robust Multi-Objective Genetic Algorithm (RMOGA) with Online Approximation under Interval Uncertainty; 6.1 Introduction; 6.2 Background and Definition; 6.2.1 Multi-Objective Genetic Algorithm (MOGA); 6.2.2 Multi-Objective Robustness with Interval Uncertainty: Basic Idea; 6.3 Robust Multi-Objective Genetic Algorithm (RMOGA); 6.3.1 Nested RMOGA; 6.3.2 Sequential RMOGA; 6.3.3 Comparison between Nested and Sequential RMOGA; 6.4 Online Approximation-Assisted RMOGA; 6.4.1 Steps in Approximation-Assisted RMOGA; 6.4.2 Sampling.
520 ## - SUMMARY, ETC.
Summary, etc For reasons both financial and environmental, there is a perpetual need to optimize the design and operating conditions of industrial process systems in order to improve their performance, energy efficiency, profitability, safety and reliability. However, with most chemical engineering application problems having many variables with complex inter-relationships, meeting these optimization objectives can be challenging. This is where Multi-Objective Optimization (MOO) is useful to find the optimal trade-offs among two or more conflicting objectives. This book provides an overview of the
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Chemical Engineering
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Science.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element SCIENCE -- Chemistry -- Industrial & Technical.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Chemical Process
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Process Design
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Hybrid Steem
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Rangaiah, Gade Pandu
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Bonilla-Petriciolet, Adrian
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Checked out Date last seen Date checked out Price effective from Koha item type Public note
    Dewey Decimal Classification   Not For Loan SNU LIBRARY SNU LIBRARY 26/08/2021 Donated from J P Gupta 0.00 1 660 RAN G2589 05/12/2026 02/11/2026 02/11/2026 26/08/2021 Books Donated from J P Gupta
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