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2. Hill climbing - Wikipedia

   en.wikipedia.org/wiki/Hill_climbing

   In numerical analysis, hill climbing is a mathematical optimization technique which belongs to the family of local search. It is an iterative algorithm that starts with an arbitrary solution to a problem, then attempts to find a better solution by making an incremental change to the solution.

3. Min-conflicts algorithm - Wikipedia

   en.wikipedia.org/wiki/Min-conflicts_algorithm

   One such algorithm is min-conflicts hill-climbing. [1] Given an initial assignment of values to all the variables of a constraint satisfaction problem (with one or more constraints not satisfied), select a variable from the set of variables with conflicts violating one or more of its constraints.

4. Stochastic hill climbing - Wikipedia

   en.wikipedia.org/wiki/Stochastic_hill_climbing

   Stochastic hill climbing is a variant of the basic hill climbing method. While basic hill climbing always chooses the steepest uphill move, "stochastic hill climbing chooses at random from among the uphill moves; the probability of selection can vary with the steepness of the uphill move."

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   www.aol.com/finance/invoice-factoring-company...

   Four tips to help you find and work with an invoice factoring company. ... The fee is usually taken out of the invoice amount as a percentage. For example, if the factoring fee is 2 percent and ...

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7. Late acceptance hill climbing - Wikipedia

   en.wikipedia.org/wiki/Late_acceptance_hill_climbing

   Late acceptance hill climbing, created by Yuri Bykov in 2008 [1] is a metaheuristic search method employing local search methods used for mathematical optimization. References [ edit ]