Genetic Algorithms (GAs) have received a great deal of attention regarding their potential as optimization techniques for complex functions. The level of interest and success in this area has led to a number of improvements to GA-based function optimizers and a good deal of progress in characterizing the kinds of functions that are easy/hard for GAs to optimize. With all this activity, there ha...

A genetic algorithm (GA) uses the principles of evolution, natural selection, and genetics to offer a method for parallel search of complex spaces. In this paper we show how to utilize GA’s to perform online adaptive state estimation for nonlinear systems. First, we show how to construct a genetic adaptive observer (GAO) where a GA evolves the gains in a state observer in real time so that the ...

This paper puts forward an adaptive genetic algorithm to solve the multi-group homogenization in the solution space. The use of good-point set approach improves the initial population, ensuring them a uniform distribution in the solution space. In the evolution, each population implements independent genetic operations (selection, good-point set crossover, and mutation). The introduction of ada...

A novel SPES-NH(2)-GA-Nafion® composite membrane with higher proton conductivity and lower methanol permeability was fabricated by covalent crosslinking layer-by-layer self-assembly of an unbalanced charged polyampholyte (SPES-NH(2)) and glutaraldehyde (GA) with controllable free sulfonic acid content.

In this paper Q self-orgnriizirig firzzy-neiircrI network with a new learning mechanism and rule optimization using genetic ulgoritltin (GA) is proposed fbr locid forecasting l71c number of rules in the inferencing layer is optimized using genetic nlgoritkni and an appropiare fitness jiinction. We devise Q learning dgorithni for. updating the connec~ing weights as well as the structure of the m...

The social sciences literature abound in problems of providing and maintaining a public good in a society composed of self-interested individuals [8]. Public goods are social bene ts that can be accessed by individuals irrespective of their personal contributions. In our previous work we have demonstrated the use of genetic algorithms (GAs) for generating an optimized agent society that can cir...

Mobile communication evolution from 2G, 3G to LTE shows a broadband and IP-oriented trend and the architecture of LTE backhaul network turns to be flat. In order to fit these new features, layer 3 routing technology has to be adopted in backhaul network and needs to be modified to fit it. In this paper, a new algorithm, named Self-Adaptive Genetic Algorithm (SAGA), is proposed to meet the deman...

Genetic Algorithms (GAs) have received a great deal of attention regarding their poten­ tial as optimization techniques for complex functions. The level of interest and success in this area has led to a number of improvements to GA-based function optimizers and a good deal of progress in characterizing the kinds of functions that are easy/hard for GAs to optim­ ize. With all this activity, ther...

In this study, a quantum-behaved particle swarm optimization (QPSO) based on hybrid evolution (HEQPSO) approach is proposed to estimate parameters of chaotic dynamic systems, in which the proposed HEQPSO algorithm combines the conceptions of genetic algorithm (GA) and adaptive annealing learning algorithm with the QPSO algorithm. That is, the mutation strategy in GA is used for conquering prema...

Abstract: For the NP-hard characteristic of facility layout problem (FLP) and its importance to industry, many optimal and heuristic algorithms have been designed to solve the problem. But when optimizing the production, with fixed probabilities, traditional GA has its flaws with slow convergence speed and the less-than ideal accuracy of the optimal solution. According to the characteristics of...