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From another viewpoint, there are also two heuristic groups for solving combinatorial optimization problems: construction algorithms that produce a feasible solution themselves, and improvement algorithms that can improve the solutions with having a feasible solution.
Neighborhood search algorithms (alternatively called local search algorithms) are a wide class of improvement algorithms where at each iteration an improving solution is found by searching the "neighborhood" of the current solution.
We also present strategy improvement algorithms for the above games.
BRYAN KLINGNER in November 2008 completed his Ph.D. on tetrahedral mesh improvement algorithms and physical simulations with dynamically changing geometry.
The effects of the parameters about the improvement algorithms are discussed by uniform design experiment.
In the route improvement procedure, a series of inter- and intra-route improvement algorithms are applied.
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"The company is running a continual performance improvement algorithm on its staff," said Amy Michaels, a former Kindle marketer.
From the strategy improvement algorithm we obtain a randomized subexponential-time algorithm to solve such games.
We present a strategy improvement algorithm for stochastic parity games; this is the first non-brute-force algorithm for solving these games.
This paper proposes a new iterative route construction and improvement algorithm to solve vehicle routing problems with soft time windows.
Using cumulative input output diagrams, we present a local improvement algorithm to find optimal timetables for individual station cases.
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