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nondominating sorting algorithms
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Series: ASM Handbook
Volume: 4C
Publisher: ASM International
Published: 09 June 2014
DOI: 10.31399/asm.hb.v04c.a0005892
EISBN: 978-1-62708-167-2
... with the use of optimal design procedures, to identify the best possible device or process. electromagnetic devices graphite induction heating multiobjective evolutionary strategy algorithms nondominating sorting algorithms optimal design Design, Optimization, and Computational Electromagnetics...
Abstract
Optimization plays a key role in the design of any structure or system, and electromagnetic devices are no exception. This article provides a description of the formulation of a design problem, and provides a review of the Paretian optimality. It focuses on nondominating sorting algorithms and multiobjective evolutionary strategy algorithms associated with evolutionary computing. The article provides information on field-based optimization problems. It also discusses the design of the pancake inductor that implies the solution of coupled electromagnetic and thermal fields, along with the use of optimal design procedures, to identify the best possible device or process.
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Published: 01 November 2010
Fig. 9 ZDT3 performance results for all three algorithms and all performance metrics. NSGA, nondominated sorting genetic algorithm; NCGA, neighborhood cultivation genetic algorithm; AMGA, archive-based microgenetic algorithm
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Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005505
EISBN: 978-1-62708-197-9
.... We found that the following genetic algorithms provide a good set of complimentary approaches to solve multiobjective problems in mechanical engineering applications. Complementary Approaches Nondominated Sorting Genetic Algorithm (NSGA-II) <xref rid="a0005505-ref24" ref-type="bibr">(Ref 24...
Abstract
The process of optimization involves choosing the best solution from a pool of potential candidate solutions. This article provides a description of some classes of problems and the optimization methods that solve them. These problems include the deterministic single-objective problem, the deterministic multiobjective problem, and the nondeterministic, stochastic optimization problem. The article presents several complementary approaches to solve a wide variety of single-objective and multiobjective mechanical engineering applications. Multiobjective optimization study and stochastic optimization studies are also discussed.
Series: ASM Handbook
Volume: 4A
Publisher: ASM International
Published: 01 August 2013
DOI: 10.31399/asm.hb.v04a.a0005814
EISBN: 978-1-62708-165-8
Abstract
This article describes the mechanisms and characteristics of heat transfer in the quenching of steel. This article describes the characterization of boiling heat transfer, including pool boiling, forced convective boiling, and rewetting, which plays a key role in defining the heat-extraction characteristics of a liquid quenchant. It provides information on heat generated microstructural field evolution and information on the analysis and characterization of heat transfer boundary conditions.
Series: ASM Handbook
Volume: 4C
Publisher: ASM International
Published: 09 June 2014
DOI: 10.31399/asm.hb.v04c.9781627081672
EISBN: 978-1-62708-167-2