## Abstract Lifeline systems, such as water distribution and gas supply networks, usually cover large areas. For these systems, seismic design is always a difficult problem because of the complexity of largeโscale networks. In this paper, a topology optimization technology for lifeline networks is
Electrical network optimization by genetic algorithm
โ Scribed by D. A. Pavluchenko; V. Z. Manusov
- Publisher
- John Wiley and Sons
- Year
- 2006
- Tongue
- English
- Weight
- 202 KB
- Volume
- 16
- Category
- Article
- ISSN
- 1430-144X
- DOI
- 10.1002/etep.104
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
For many optimum design problems, the objectiยฎe function is the result of a complex numerical code and may not be differentiable and explicit. The first aim is to propose a way of solยฎing such complexity on an example problem. A noยฎel and global strategy inยฎolยฎing artificial neural networks and a ge
A Genetic Algorithm (GA) is described, which produces solutions to the cost optimization problem of reinforcement layout for reinforced soil slopes. These solutions incorporate di!erent types of reinforcement within a single slope. The GA described is implemented with the aim of optimizing the cost
reflections of y18 to y24 dB were observed for cases 1 and 2, and y16 and y20 dB for case 3. Our results indicate that the effect of RF microwave loss of the metal structures for the three cases above is clearly negligible. ## III. CONCLUSION In summary, a TirAurTi structure was found, by compari