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What is Ant Colony

Handbook of Research on Innovative Approaches to Information Technology in Library and Information Science
An optimization algorithm inspired by the foraging behavior of ants, employed to solve complex problems by simulating the way ants find the shortest path to food sources.
Published in Chapter:
Parallel Artificial Bee Colony Algorithm for Solving Advance Industrial Productivity Problems
Annu Priya (Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India), Shrabanti Mandal (Guru Ghasidas University, Bilaspur, India), and Yogesh (Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India)
DOI: 10.4018/979-8-3693-0807-3.ch002
Abstract
Scheduling problems play a pivotal role in many of the fields today, such as manufacturing systems, industrial processes, production, etc. The job-shop scheduling problems are categorized as a non-deterministic NP hard problem. It is very complicated to find a better algorithm which can give an optimal solution under a given time constraint. A scheduling can be generally categorized as a set of jobs where each job can have greater than one operation to perform. The main aim of the scheduling would be to resolve the scheduling of the jobs that would minimize a measure of performance. A common measure of performance for dealing with the problems of the scheduling is the makespan of a schedule. Technique for calculating the shop scheduling problem ranges from simple FIFO and SPT to more sophisticated procedures, for instance branch and bound, tabu search, ant colony, genetic algorithm, and many others. The modified version of ABC is parallel ABC (PABC) for solving the JSSP. Projected method basically uses the concept of parallelism for the concept of scheduling.
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More Results
Balanced Energy Consumption Approach Based on Ant Colony in Wireless Sensor Networks
Ant colony algorithm is a meta-heuristic algorithm. It is inspired from cooperative behavior of real ants. Ants follow the shortest to food source with extensive amount of pheromone.
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