Titlebook: Real-World Applications of Evolutionary Computing; EvoWorkshops 2000: E Stefano Cagnoni Conference proceedings 2000 Springer-Verlag Berlin

jeopardize

A Genetic Algorithm with Local Search for Solving Job Problemsmous Muth and Thompson problems (i.e. MT6×6, MT10×10, MT20×5). The simulation study shows that this algorithm possesses high efficiency and is able to find out the optimal solutions for the job shop problems.

演讲

cacophony

bisphosphonate

Experimental Determination of Drosophila Embryonic Coordinates by Genetic Algorithms, the Simplex Me approach performs best. The intrinsic curvilinear coordinates of the embryo found by our optimization procedures appear to be well approximated by lines of isoconcentration of a known morphogen, Bicoid.

MOCK

失误

深陷

fluoroscopy

Special Purpose Image Convolution with Evolvable Hardwareding an edge enhancement operator using evolutionary methods, implementing and testing each generation using the Xilinx 6200 family FPGA. Finally, we present the results and conclude by mentioning some areas of further investigation.

motivate

忍受

A Faster Genetic Clustering Algorithmesults show that the proposed algorithm converges more quickly to the global optimum and thus provides a better way out of the dilemma in which the traditional clustering algorithms are easily trapped in local optima and the genetic approach is time consuming.