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Evolutionary Multiobjective Optimization: Theoretical Advances and Applications

Ajith Abraham ; Lakhmi Jain ; Robert Goldberg (eds.)

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

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Institución detectada Año de publicación Navegá Descargá Solicitá
No detectada 2005 SpringerLink

Información

Tipo de recurso:

libros

ISBN impreso

978-1-85233-787-2

ISBN electrónico

978-1-84628-137-2

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© Springer-Verlag London Limited 2005

Tabla de contenidos

Multi-criteria Optimization of Finite State Automata: Maximizing Performance while Minimizing Description Length

Robert Goldberg; Natalie Hammerman

This chapter presents a new operator which, when added to a genetic algorithm (GA), improved the performance of the GA for locating optimal finite state automata. The new operator (termed MTF) reorganizes a finite state automaton (FSA) genome during the execution of the genetic algorithm. MTF systematically renames the states and m oves them t o the f ront of the genome. The operator was tested on the ant trail problem. Across different criteria (failure rate, processing time to locate a solution, number of generations needed to locate a solution), the MTF-enhanced GA realized speedups between 110% and 579% over the non-enhanced version. In addition, the successful FSAs found by the genetic algorithm augmented with MTF were 25% 46% smaller in size than those found by the original GA.

Pp. 255-271

Multiobjective Optimization of Space Structures under Static and Seismic Loading Conditions

Nikos D. Lagaros; Manolis Papadrakakis; Vagelis Plevris

This chapter presents a evolution strategies approach for multiobjective design optimization of structural problems such as space frames and multi-layered space trusses under static and seismic loading conditions. A rigorous approach and a simplified one with respect to the loading condition are implemented for finding optimal design of a structure under multiple objectives.

Palabras clave: Design Variable; Response Spectrum; Multiobjective Optimization; Seismic Loading; Multiobjective Optimization Problem.

Pp. 273-300