Distributed Computing and Artificial Intelligence: 9th by Sigeru Omatu, Juan F. De Paz Santana, Sara Rodríguez

By Sigeru Omatu, Juan F. De Paz Santana, Sara Rodríguez González, Jose M. Molina, Ana M. Bernardos, Juan M. Corchado Rodríguez

The overseas Symposium on disbursed Computing and synthetic Intelligence 2012 (DCAI 2012) is a stimulating and efficient discussion board the place the medical neighborhood can paintings in the direction of destiny cooperation in disbursed Computing and synthetic Intelligence components. This convention is a discussion board within which functions of leading edge recommendations for fixing complicated difficulties should be provided. synthetic intelligence is altering our society. Its software in allotted environments, equivalent to the web, digital trade, surroundings tracking, cellular communications, instant units, disbursed computing, to say just a couple of, is constantly expanding, changing into a component of excessive further worth with social and fiscal strength, in undefined, caliber of existence, and learn. those applied sciences are altering always a result of huge examine and technical attempt being undertaken in either universities and companies. The alternate of principles among scientists and technicians from either the tutorial and region is vital to facilitate the improvement of structures which may meet the ever expanding calls for of modern society.

This version of DCAI brings jointly prior adventure, present paintings, and promising destiny tendencies linked to dispensed computing, man made intelligence and their program to be able to supply effective ideas to genuine difficulties. This symposium is equipped through the Bioinformatics, clever method and academic know-how learn crew (http://bisite.usal.es/) of the collage of Salamanca. the current variation might be held in Salamanca, Spain, from twenty eighth to thirtieth March 2012.

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In the experiments, the update interval of travel time was set to 5 minutes (300 seconds); the number of updates was as shown in Table 1. Since the number of updates was 86 to 140, it can be said that the traffic flow was changed very frequently. In this experiment, the local search which is an option of both the generic ACO and the proposed method was not used because the purpose is to evaluate the original performance of the proposed method. Consequently, the proposed method has almost no additional computation cost compared with the conventional MMAS.

In this paper, we improve the accuracy by using important words predefined in FAQ. 1 Outline of a Predictive Search Method of FAQ When some important words of a certain FAQ are inputted (co-occurred) in the inquiry, the co-occurrence rate of important words differs in each FAQ. Focusing on the difference of the rates, we propose the predictive search method by the rate of 12 M. Samejima et al. important words’ co-occurrence in past inquiries. A corresponding FAQ is identified when the co-occurrence rate of important words in the FAQ is the highest.

We also present a method of generating a TDTSP to use in evaluating the proposed method. In the following section, we start by describing the problem. Then, we detail the algorithm of the proposed method. Finally, we present the results of experiments comparing the proposed method with MMAS using benchmark problems with 51 to 318 cities. , cities, n=|N| is the number of cities, and A is the set of arcs fully connecting the nodes. Each arc (i, j) A is assigned a value di,j (=dj,i), which represents the distance between cities i and j.

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