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The organization of OAT Research is founded to spread and cater the underlying concepts of Optimization and Agent Technology. More specifically, the organization works towards nurturing and developing the Nature-/Bio-inspired Optimization Algorithms/Methods to solve a variety of problems. The Algorithms could be (not limited to)  Evolutionary Algorithms, Genetic Algorithms, Particle Swarm Optimization, Ant Colony Optimization, Fire Fly Algorithms, Artificial Neural Networks, Artificial Immune Systems, Fuzzy Logic, Distributed Optimization technique such as Probability Collectives, etc. And the potential problems that could be solved may be of the categories (not limited to) Unconstrained/Constrained problems, Continuous/Discrete/Combinatorial Problems, Multi-Objective/-Criteria Problems, Graph Theoretic Problems, Complex Problems, etc.

In addition, organization also intends to use/modify the above algorithms to use exploring (not limited to) Topology and Shape Optimization, Collective Intelligence (COIN), Multi-Agent Systems, Self Healing Systems, Fault Tolerant Systems, Game Theory, Nash Equilibrium, Graph Theory, Computational Geometry, etc.

The organization intends to provide the researchers, scientists and students a platform to form a network, discuss, consult regarding the above mentioned areas. This may help develop new algorithms/methods, etc. and also to modify the existing algorithms.

The interested and committed researchers, scientists and students may contact the Chairs of the OAT Research to join the organization to be an active part of the endeavor.