Micro Artificial Immune System for Traffic Light Control

A new bio-inspired meta-heuristic, called the micro artificial immune system (MAIS), has been developed in order to reduce the rates of pollution for a specific region of Mexico City through the optimization of vehicular flow. Simulation of urban mobility (SUMO) was used to simulate the effects of the programming of the traffic lights obtained by the MAIS. Currently, pollution and travel times from one place to another are increasing due to the number of inhabitants that live in big cities, which has generated a decrease in people’s quality of life. Hence, we propose the optimization of the programming of the sequences of traffic lights through this bio-inspired meta-heuristic. The obtained results show that the MAIS outperforms most of the algorithms tested in this research.

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Artificial Immune System for Multi-Area Economic Dispatch

International Journal of Emerging Electric Power Systems ◽

10.1515/ijeeps-2013-0087 ◽

2013 ◽

Vol 14 (6) ◽

pp. 581-590 ◽

Cited By ~ 3

Author(s):

Shankha Suvra De ◽

Abhik Hazra ◽

Mousumi Basu

Keyword(s):

Immune System ◽

Artificial Immune System ◽

Clonal Selection ◽

Economic Dispatch ◽

Artificial Immune ◽

Promising Alternative ◽

Alternative Approach ◽

Real Coded Genetic Algorithm ◽

Tournament Selection

Abstract This article presents artificial immune system for solving multi-area economic dispatch (MAED) problem with tie line constraints considering transmission losses, multiple fuels, valve-point loading and prohibited operating zones. Artificial immune system is based on the clonal selection principle which implements adaptive cloning, hyper mutation, aging operator and tournament selection. The effectiveness of the proposed algorithm has been verified on three different test systems, both small and large, involving varying degree of complexity. Compared with differential evolution, evolutionary programming and real-coded genetic algorithm, considering the quality of the solution obtained, the proposed algorithm seems to be a promising alternative approach for solving the MAED problems in practical power system.

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Artificial Immune System (AIS)-Based Location Management Scheme in Mobile Cellular Networks

10.20944/preprints201805.0346.v1 ◽

2018 ◽

Author(s):

Sanjay Kumar Biswash ◽

Mahasweta Sarkar ◽

Dhirendra Kumar Sharma

Keyword(s):

Immune System ◽

Artificial Immune System ◽

Location Management ◽

Personal Communication ◽

Rule Base ◽

Base System ◽

Artificial Immune ◽

Signaling Cost ◽

Management Procedure

In this paper, we are proposing a bio-inspired location management (LM) technique for personal communication system (PSC). It is based on artificial immune system (AIS), with self-adaptation and self-updates attributes in order to perform the location management, and work helps to achieve the better quality of service (QoS) and quality of experience (QoE) for the mobile users. Here, we are suggesting a modified mobile switching center (MSC) architecture, and an adaptive self-modified location management procedure. The proposed mobile switching centre architecture has an advantage of rule-based and fact-based system to store the rules and fact related to location management procedure, and it shows the intelligent behavior of system. The mobile switching centre calculates the best method for location management and rule-base system trigged the rules to perform the techniques. The system stores the result (techniques for location management) in fact-base system for future use. The efficiency and effectiveness of the proposed techniques been analyzed, and it observed that the proposed system has 45-50% improvement in performance over the current location management techniques. Here, we are taking the performance parameters such as signaling cost, database update cost, overhead measurement, mobility management cost.

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