Tag: optimization

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Particle Swarm Optimization (PSO) Software

Particle swarm optimization (PSO) is a population-based stochastic optimization technique inspired by swarm intelligence. The underlying motivation for the development of PSO algorithm was social behavior of animals such as bird flocking, fish schooling, and swarm theory. The fundamental to the development of PSO is a hypothesis that social sharing of information among peers offers an evolutionary

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Polymath8: Bounded Gaps between Primes

The Polymath8 project, led by the Fields Medalist Dr. Terence Tao and in collaboration with a team of top mathematicians, was launched to optimize the records of the bounded gaps between primes based on the breakthrough work of “Bounded gaps between primes” by Dr. Yitang Zhang. He proved that there are infinitely many pairs of primes with a

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Differential Evolution (DE)

Differential Evolution (DE) is an optimizatin method developed by Price and Storn in 1995. DE is original proposed as an evolution strategy (ES). It may also be considered as an swarm intelligence (SI) based method. DE has been implemented into the Cooperative Group Optimization System (CGOS). DEPSO is a effective algorithm to combine the advantages

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Solving the Magic Square Problem Using Modern Heuristic Methods

This problem is to solve the Magic Square Problem (constrained and unconstrained versions), a combinatorial optimization problem, using modern heuristic methods. Magic squares have been a source of fascination since ancient times, over 4,000 years. A magic square is a square matrix of size n, containing each of the numbers 1 to n2 exactly once, in which

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