The Cooperative Optimization Metaheuristic: Inspiration from Nature and Applications
The cooperative optimization is a newly discovered metaheuristic for solving difficult combinatorial optimization problems. It is inspired by the cooperation principle in social systems where individuals in a system often work together in a cooperative way to solve hard problems of a complexity beyond the capability of any individual in the system. Unlike any existing metaheuristics, it has a number of global optimality conditions so that the cooperative optimization algorithms know where to find global optima and when to stop searching. Furthermore, a cooperative optimization algorithm has a unique equilibrium and converges to it with an exponential rate regardless of initial conditions and perturbations. In solving real-world optimization problems, the cooperative optimization algorithms have often significantly outperformed state-of-the-art algorithms.
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