SUMMARYThis paper proposes a scheme for generating multiple flight routes using genetic algorithms (GAs). In obtaining multiple routes or multiroutes by GAs simultaneously, there is a problem of collisions or near-misses occurring due to interference between the routes (closeness or intersecting of the routes) when similar routes are generated. The proposed scheme realizes a scheme for searching multiple flight routes without interference by incorporating a method for correcting their fitness on the basis of the neighborhood density for maintaining the variety and the degree of interference or the interference degree for obtaining routes that do not come close to or intersect one another. In addition, this paper proposes a priority candidate preserving strategy that preserves superior multiple individuals for each generation in order to improve the search performance. Computer simulation results confirm that the scheme proposed generates multiple flight routes without interference, indicating its efficacy.

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This paper describes Evolvable Hardware (EHW) chips and their industrial applications. EHW refers to hardware devices that can adjust their circuit structure to adapt to varying environments. Unlike traditional hardware, EHW is capable of autonomously changing its functionality whilst operating in a real environment, and thus represents a major new approach to hardware design and development. In this paper, a number of the applications of EHW currently under development at the Electrotechnical Lab. are introduced, and, in particular, a data compression EHW chip for electrophotographic printers, which has achieved compression ratios twice those of the international standard methods, is described in some detail.