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  CSE6705:


Meta-Heuristics

3 Credit Hour Course

Prerequisite:   None

Heuristics and meta-heuristic: notation, motivations, applications; Representations: vectors, graphs, trees, lists, rulesets; Single-state methods: hill-climbing, global optimization algorithms, simulated annealing, tabu search, iterated local search, guided local search, reactive local search, greedy randomized adaptive search procedures; Nature inspired methods: evolution strategies, genetic algorithms, particle swarm optimization, ant colony optimization, bee colony optimization, artificial immune systems; Hybrid methods; Parallel methods: multiple threads, island models, master-slave fitness assessment, spatially embedded models; Multiobjective optimization; Performance evaluation.




Department of Computer Science and Engineering, ECE building, Palashi, Dhaka, Bangladesh. The Department is part of the Faculty of Electrical and Electronic Engineering at the Bangladesh University of Engineering & Technology. No part or content of this website may be copied or reproduced without permission of the department authority. Contact info@cse.buet.ac.bd with questions or comments on this page.  [Development Credits]