The optimal scenario, which produced the greatest interface was isolated and is shown in Figure 1. The other schemes formed a set from which the initial population was randomly selected, then run ...

Evolutionary optimization (EO) is a technique for finding approximate solutions to difficult or impossible numeric optimization problems. In particular, EO can be used to train a neural network. EO is ...

Journal of Urban and Environmental Engineering, Vol. 1, No. 2 (July to December, 2007), pp. 61-69 (9 pages) Abstract: The Genetic Algorithms (GAs) are a technique of optimization used for water ...

Standardized reflex testing on the basis of pathologist evaluation of the BM and flow cytometry specimen has been shown to minimize omitted and unnecessary testing, a so-called Goldilocks or just ...

Vinod Saini, Sanchit Singh, Shivaram NV, Himanshu Jain, Genetic Algorithm Based Gear Shift Optimization for Electric Vehicles, SAE International Journal of Alternative Powertrains, Vol. 5, No. 2 (July ...

MIT researchers developed a fully autonomous platform that can identify, mix, and characterize novel polymer blends until it finds the optimal blend. This system could streamline the design of new ...

This paper presents a comparative study of Z-N method and Genetic Algorithm method (GA) to determine the optimal Proportional-Integral-Derivative (PID) controller parameters, for speed control of ...