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Transcript
GENETIC ALGORITHM (CS-1741)
UNIT 1: Basics of Optimization, Optimization Problems, Point to Point Algorithms, Simulated Annealing 3(L)
UNIT 2: Population Based Algorithms, Brief Overview of Evolutionary Computation, Genetic Algorithms
(Theory and Advanced Operators), Genetic Representation, search operators, selection schemes and selection
pressure. 7(L)
UNIT 3: Operators on Real-valued Representations, Niche and fitness sharing, Particle Swarm Optimization,
Mimetic Algorithms 7(L)
UNIT 4: Evolution Strategies, Genetic Programming, Evolutionary Programming, Differential Evolution 6(L)
UNIT 5: Constraint handling in optimization problems, Real Life application of optimization Algorithms,
Introduction of Multi-objective Evolutionary Algorithms 7(L)
Text/Reference Books:
-Objective Optimization Using Evolutionary Algorithms by K.Deb
wicz (eds.)