Download Intelligent and Evolutionary Systems: The 19th Asia Pacific by Kittichai Lavangnananda, Somnuk Phon-Amnuaisuk, Worrawat PDF

By Kittichai Lavangnananda, Somnuk Phon-Amnuaisuk, Worrawat Engchuan, Jonathan H. Chan

This PALO quantity constitutes the complaints of the 19th Asia Pacific Symposium on clever and Evolutionary structures (IES 2015), held in Bangkok, Thailand, November 22-25, 2015. The IES sequence of convention is an annual occasion that used to be initiated again in 1997 in Canberra, Australia. IES goals to collect researchers from international locations of the Asian Pacific Rim, within the fields of clever platforms and evolutionary computation, to switch principles, current fresh effects and talk about attainable collaborations. Researchers past Asian Pacific Rim nations also are welcome and inspired to take part. The topic for IES 2015 is “Transforming enormous facts into wisdom and Technological Breakthroughs”.

The host association for IES 2015 is the varsity of knowledge know-how (SIT), King Mongkut’s collage of expertise Thonburi (KMUTT), and it's technically subsidized through the overseas Neural community Society (INNS). IES 2015 is collocated with 3 different meetings; particularly, The sixth overseas convention on Computational Systems-Biology and Bioinformatics 2015 (CSBio 2015), The seventh overseas convention on Advances in info expertise 2015 (IAIT 2015) and The tenth overseas convention on e-Business 2015 (iNCEB 2015), as a tremendous a part of sequence of occasions to have a good time the sit down 20th anniversary and the KMUTT 55th anniversary.

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Additional resources for Intelligent and Evolutionary Systems: The 19th Asia Pacific Symposium, IES 2015, Bangkok, Thailand, November 2015, Proceedings

Example text

In this manner, ACO will eventually derive a path that provides an optimum solution between the nest and the food source. 1 Base Algorithms ACO derives a path between the start to end points as follows: 1. Ants begin to explore the path from start point to end point. 2. Ants move only a fixed distance each time (step). 3. When ants encounter selectable multiple solutions like branches, they conduct a local search based on pheromone traces and other information. 4. Ants add pheromone to each selected path, when they reach the end point.

In order to switch routes, it is necessary for the amount of pheromone on the new route to exceed that of the old route. However, because there are fewer evacuees to add pheromone traces onto a new route as the evacuation progresses, the process takes more time. 6 Extension for Avoiding Dangerous Area At this point, it is clear that a more proactive mechanism for decreasing pheromone traces around dangerous areas is necessary. To accomplish this, we add new information that can erase pheromone traces into the system.

Apology. As an apology related with time, we first define recency factor (R F) [27]: R F(a) = e t (a) λ , (3) where R F(a) is a recency factor of apology a. t (a) is the difference between the time that the transgression takes place (to ) and the time that the offender apologizes (ta ). More different value between these two times is significantly less positive judgements. The parameter λ ∈ [0, 1] is a decay rate of the apology offer. The small λ indicates inclination relying more on the early time of expressing apology.

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