Innovative Computing Methods and Their Applications to by João Guilherme Sauer (auth.), Nadia Nedjah, Leandro dos

By João Guilherme Sauer (auth.), Nadia Nedjah, Leandro dos Santos Coelho, Viviana Cocco Mariani, Luiza de Macedo Mourelle (eds.)

The layout of most recent engineering structures involves the dignity of a very good trade-off among the different goals requisites to be happy alongside the process existence akin to excessive reliability, low redundancy and occasional operational expenses. those points are frequently in clash with each other, as a result a compromise resolution should be sought. cutting edge computing recommendations, akin to genetic algorithms, swarm intelligence, differential evolution, multi-objective evolutionary optimization, simply to identify few, are of significant assist in founding powerful and trustworthy answer for plenty of engineering difficulties. every one bankruptcy of this ebook makes an attempt to utilizing an cutting edge computing strategy to elegantly remedy a unique engineering problem.

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When both the chromosomes/individuals are infeasible with unequal constraint violations, then the chromosome with less constraint violation is selected. 4. When both the chromosomes/individuals are infeasible with equal constraint violations, then any one chromosome/individual is selected. After the selection process, new offspring will be created through crossover and mutation processes. In this work, we have used uniform crossover and uniform mutation in the genes corresponding to the integer variables, whole arithmetical crossover and boundary mutation for the last gene of the chromosome.

Reliability Engineering and System Safety 95, 120–126 (2010) 30. : An efficient constraint handling method for genetic algorithms. Computer Methods in Applied Mechanics and Engineering 186, 311–338 (2000) 31. : Penalty function approach in heuristic algorithms for constrained. IEEE Transactions on Reliability 54(3), 549–558 (2005) 32. : Numerical comparison of some Penalty-Based Constraint Handling Techniques in Genetic Algorithms. Journal of Global Optimization 2, 427–446 (2003) 33. : Global optimization using interval analysis.

Genetic Algorithm Based Reliability Optimization 35 References 1. : Reliability redundancy allocation: An improved realization for nonconvex nonlinear programming problems. European Journal of Operational Research 171, 124–138 (2006) 2. : An efficient particle swarm approach for mixed-integer programming in reliability redundancy optimization applications. Reliability Engineering and System Safety 94, 830–837 (2009) 3. : Optimization technique for system reliability with redundancy: A Review. IEEE Trans.

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