This paper describes a innovative optimization algorithm called Pointer. The Pointer software consists of a complementary set of optimization algorithms: linear simplex, sequential quadratic programming (SQP), downhill simplex, and genetic algorithms. Pointer can efficiently solve a wide range of problems in a fully automatic manner due to a special automatic control algorithm. The goal of the Pointer software is to make optimization more accessible to non-expert users without sacrificing performance.

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