Genetic algorithms have demonstrated considerable success in providing good solutions to
many NP-hard optimization problems. For such problems, exact algorithms that always find …

The GA-P performs symbolic regression by combining the traditional genetic algorithms
function optimization strength with the genetic-programming paradigm to evolve complex …

An Indexed Bibliography of Genetic Algorithms: Years 1957-1993 Page 1 An Indexed
Bibliography of Genetic Algorithms: Years 1957-1993 compiled by Jarmo T. Alander …

Engineered Conditioning (EC) is a Genetic Algorithm operator that works together with the
typical genetic algorithm operators: mate selection, crossover, and mutation, in order to …

The design of complex composite structures used in aerospace or automotive vehicles
presents a major challenge in terms of computational cost. Discrete choices for ply …

Active diagnosis aims at significantly improving system reliability by computing diagnostic
information at run-time for fault isolation and online error recovery. The presented work …

Günümüzün rekabetçi ortamında var olan ve gelecekte de var olmak isteyen işletmeler her
geçen gün kendilerinden ve rakiplerinden daha iyi olmaya çalışmaktadırlar. İşletmelerin …

An Indexed Bibliography of Genetic Algorithms Theory and Comparisons Page 1 An Indexed
Bibliography of Genetic Algorithms Theory and Comparisons compiled by Jarmo T. Alander …

Multiple fault diagnosis (MFD) is the process of determining the correct fault or faults that are
responsible for a given set of symptoms. Exhaustive searches or statistical analyses are …

Abstract An In-coil in Qm, the n-dimensional unit cube, is a simple cycle C in Qm such that C
has no chords in Qm. An In-snake is a simple (open) path S in Qm which has no chords in …