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The greedy randomized adaptive search procedure (also known as GRASP) is a metaheuristic algorithm commonly applied to combinatorial optimization problems...

others for relativistic atomic structure calculations Greedy randomized adaptive search procedure GRASP (SAT solver), an SAT instance solver USS Grasp...

feasible solutions is discrete Greedy randomized adaptive search procedure (GRASP): successive constructions of a greedy randomized solution and subsequent iterative...

optimization algorithms, reactive search optimization, guided local search, or greedy randomized adaptive search. In addition, tabu search is sometimes combined with...

intelligence based on the multi-start architecture of the greedy randomized adaptive search procedure (GRASP). It incorporates the existing cooperative coevolutionary...

development of the metaheuristics GRASP (greedy randomized adaptive search procedures), and BRKGA (biased random-key genetic algorithms) as well as the...

Günther (2011), "Value-Difference Based Exploration: Adaptive Control Between Epsilon-Greedy and Softmax" (PDF), KI 2011: Advances in Artificial Intelligence...

actions (Tokic & Palm, 2011). Adaptive epsilon-greedy strategy based on Bayesian ensembles (Epsilon-BMC): An adaptive epsilon adaptation strategy for...

probability of sampling the goal to the state sampling procedure. The higher this probability, the more greedily the tree grows towards the goal. For a general...

metaheuristic is a higher-level procedure or heuristic designed to find, generate, tune, or select a heuristic (partial search algorithm) that may provide...

(2010), Gendreau, Michel; Potvin, Jean-Yves (eds.), "Greedy Randomized Adaptive Search Procedures: Advances, Hybridizations, and Applications", Handbook...

In statistics, multivariate adaptive regression splines (MARS) is a form of regression analysis introduced by Jerome H. Friedman in 1991. It is a non-parametric...

algorithm randomized binary search tree randomized complexity randomized polynomial time randomized rounding randomized search tree Randomized-Select random number...

process of top-down induction of decision trees (TDIDT) is an example of a greedy algorithm, and it is by far the most common strategy for learning decision...

those that go "uphill." With T = 0 {\displaystyle T=0} the procedure reduces to the greedy algorithm, which makes only the downhill transitions. In the...

(2004, pp. 79–121) Nilsson (1998, chpt. 8) Heuristic or informed searches (e.g., greedy best first and A*): Russell & Norvig (2021, s§3.5) Poole, Mackworth...

and efficiently, with enhanced global search capability and accuracy. The orthogonal design method and the adaptive radius adjustment method can also be...

direction of the gradient will lead to a local maximum of that function; the procedure is then known as gradient ascent. It is particularly useful in machine...

discovery procedures, including range queries, can be performed in logarithmic time. Oscar constructs a navigable small-world network based on random walk...

graphs is usually very close to 2 log2n, simple greedy algorithms as well as more sophisticated randomized approximation techniques only find cliques with...