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We propose an autonomous decentralized method for multiple AGV robots under uncertain delivery requests. Transportation route plans of AGV robots are expected to minimize the transportation time without collisions among the robots in the systems. In our proposed methods, each robot as an agent computes its transportation route by referring to the static path information, and it exchanges its route...
Extended classifier systems (XCS) introduced by Wilson became popular instrument used to solve many real-world problems possible to express with ternary representation. Our new model of real-valued LCS - the rGCS - is designed to classify real valued data. rGCS is based on grammar-based classifier system (GCS), which was originally used to process context free grammar sentences. To improve 3D function...
This paper describes about the optimization of the e-business social network visualization after the searching process. Basically, we found that the current e-business web pages having a low quality of connection between each other. It means that the current search engines are not able to search the relevant result and to show the connections between each Web page and how they are related with each...
Image hiding techniques embed a secret image into a cover image. The fusion of the two, called a stego- image, fools grabbers who would not be conscious of the differences between the cover image and. the stego- image. A secret image can be transferred safely using this technique. In general, we would disarrange each pixel in the secret image and adjust all of them to form a suitable string of bits...
In this paper, a novel halftoning technique for image is designed with genetic algorithm (GA). It is structured on the error diffusion kernel and the resulted halftone image is compared to the one which is originated from the standard error diffusion kernel with the same method by PSNR (peak signal-to-noise ratio).
This paper presents a comparative study of three popular, Evolutionary Algorithms (EA); Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Differential Evolution (DE) for optimal tuning of Proportional Integral (PI) speed controller in Permanent Magnet Synchronous Motor (PMSM) drives. A brief description of all the three algorithms and the definition of the problem are given.
The scheduling problem with fuzzy processing times and fuzzy due dates are concerned in this paper. The concept of tardiness is much more flexibly interpreted based on the concepts of possibility and necessity measures in the fuzzy sets theory. Certain types of the objective function are taken into account through the different combinations of possibility and necessity measures. We turn these objective...
Due to their excellent performance in solving combinatorial optimization problems, metaheuristics algorithms such as genetic algorithms GA (Sareni and Krahenbuhl, 1998; Karr and Freeman, 1999; and Chambers, 1995), simulated annealing SA (Reznik, 1997 and Gill et al., 1981) and tabu search TS make up another class of search methods that has been adopted to efficiently solve dynamic optimization problem...
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