The $-Calculus Process Algebra for Problem Solving and its Support for Bioinformatics
نویسندگان
چکیده
In this paper a new technique for the solutions of hard computational problems in bioinformatics is investigated. This is the $-calculus process algebra for problem solving that applies the cost performance measures to converge to optimal solutions with minimal problem solving costs. We demonstrate that the $-calculus generic search method, called the kΩ-optimization, can be used to solve gene finding and sequence alignment problems. The solutions can be either precise or approximate by applying the $-calculus optimization or total optimization.
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The $-Calculus Process Algebra of Bounded Rational Agents Applied to Selected Problems in Bioinformatics
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