In this research paper, we present an immune optimization algorithm (opt-IA) developed to detect community structures, with the main aim to maximize the modularity produced by the discovered communities. In order to assess the performance ofopt-IA, we compared it with an overall of 20 ...
Random SearchGenetic AlgorithmsParallel AlgorithmIn this paper, we consider the planar multi-facility Weber problem with restricted zones and non-Euclidean distances, propose an algorithm based on the probability changing method (special kind of genetic algorithms) and prove its efficiency for approximate...
An improved random-search algorithm for non-linear optimization. Computers & Chemical Engineering, 1990;14(10):1111-1126.Salcedo, R., Goncalves, M. J., & de Azevedo, S. F. (1990). An improved random-search algorithm for non-linear optimization. Computers & Chemical Engineering, 14, 1111....
An implementation of the Augmented Random Search algorithm - GitHub - modestyachts/ARS: An implementation of the Augmented Random Search algorithm
Using an optimization algorithm (see Section A.2), we found the optimal parameter combination for each class of forager on each type of landscape, and compared the efficiencies of these optimal foragers. Then, we examined the sensitivity of search efficiency to each of the optimized parameters (...
A NodeJS/Javascript library which selects an item from a JSON objects, using a weighted random algorithm tdp_org •1.0.1•6 years ago•0dependents•MITpublished version1.0.1,6 years ago0dependentslicensed under $MIT 14 1 2
this results in random number generators that generate identical sequences of pseudo-random numbers, as illustrated by the first twoRandomobjects in the following example. To prevent this, apply an algorithm to differentiate the seed value in each invocation, or call theThread.Sleepmethod to ensure...
Grover's search algorithmshows how to write a Q# program that uses Grover's search algorithm. Quantum Fourier Transformsexplores how to write a Q# program that directly addresses specific qubits. TheQuantum Katasare self-paced tutorials and programming exercises aimed at teaching the elements of quan...
An optimization algorithm is proposed which is applicable for the global optimization of computationally expensive functions with specific applications in material identification. The methodology, referred to as the Surrogate-Model Accelerated Random Search (SMARS) algorithm, is a non-gradient based iterative...
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