•Genetic Algorithms
•Genetic Programming
•Evolutionary Programming and Evolution Strategies
•Combinatorial Optimization and Metaheuristics
•Artificial Immune Systems (AIS)
•Particle Swarm Optimization (PSO)
•Ant Colony Optimization (ACO) and ant systems
•Bacterial Foraging
•Algorithms (BFA)
•Harmony Search (HS)
•Cultural Algorithms
•Artificial Bees and Fireflies Algorithms
•Artificial Life and Digital Organisms
•Swarm Robotics, Evolvable Hardware
•Estimation of Distribution Algorithms(EDA)
•Stochastic Diffusion Search(SDS)
•Self –organization in Swarms
•Adaptation in Evolutionary Systems
•Quantum and Nano – computing
•Common sense computing
•Membrane computing
•Solving single objective
•Multi-objective,dynamic and large-scale optimization problems with swarm and evolutionary algorithms
•Novel concepts of memetic computation
•Memes, memeplexes, meta-memes in computing and highorder evolution
•Meme-gene co-evolutionary frameworks and multi-inheritance model for various practical applications.
•Parallel memetic framework for practical applications
•Partial or full or meta – Lamarckian/ Baldwinian
•Meta – learning Agent based memetic computation
General Chair

Prof Kalyanmoy Deb, IIT Kanpur , INDIA