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 ...
A previously proposed random search algorithm (“random creep”) was found to be very slow in convergence. We present a new method (the “random leap” algorithm) which starts in a global search mode and automatically adjusts step size to speed convergence. A FORTRAN executive program for the...
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....
Algorithm | Random 随机生成[0,n)中不重复的m个数。 1classRandom {2public:3Random(intn,intm):n(n), m(m) {}4voidgenerate() {5srand(time(NULL));6for(inti =0; i < n; ++i) data.push_back(i);7for(inti =0; i < m; ++i) swap(data[i], data[i + rand() % (n -i)]...
Find the optimal parameters of an algorithm using random search in R r parameter-estimation random-search Updated on Apr 17, 2021 R wol4aravio / OSOL.Extremum Star 4 Code Issues Pull requests Open-Source Optimization Library - Extremum python open-source package library opensource optimiz...
Random number generator for browsers and node.js Random RNG browser crypto indutny• 1.1.0 • 8 years ago • 480 dependents • MITpublished version 1.1.0, 8 years ago480 dependents licensed under $MIT 46,184,010 @matter.js/brorand Random number generator for browsers and node.js Rand...
An implementation of the Augmented Random Search algorithm - GitHub - modestyachts/ARS: An implementation of the Augmented Random Search algorithm
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...
The algorithm has two well differentiated parts for the intensive and the extensive phase: •Extensive phase: 1. Obtain the distance from the current position of the searcher, i, to every other cell in the board, j, and 2. assign a jumping probability, As in the game the player ...