نتایج جستجو برای: shuffled frog leaping algorithm
تعداد نتایج: 767371 فیلتر نتایج به سال:
The Jiles-Atherton model is key to researching the hysteresis loop. focus of scholars across various countries has always been parameter identification model. This paper on Levy whale optimization algorithm (LWOA), based (WOA), proposes overcome disadvantage that WOA tends involve local optimum. recommended uses flight strategy instead encircling prey policy since former improves global search....
Path planning evaluates and identifies an obstacle free path for a wheeled mobile robot (WMR) to traverse within its workspace. It emphasizes metric like, start goal coordinate, static or dynamic workspace, obstacles, computational time local minimum problem. play significant role toward WMR effective it workspace like industrial, military, hospital, school office. In this is optimal method inc...
This study aimed to determine the integrated freshness index (IFI) of eggs using Vis-NIR spectroscopy and optimized support vector regression, which gave first insight into quality from biochemical essence changes. In this work, transmission spectra brown-shell pink-shell egg samples were analyzed between 500 nm 900 nm. Standard normal variables (SNV) used normalize spectral data, Shuffled Frog...
Landslide susceptibility analysis is beneficial information for a wide range of applications, including land use management plans. The present attempt has shed light on an efficient landslide mapping framework that involves adaptive neural-fuzzy inference system (ANFIS), which incorporates three metaheuristic methods grey wolf optimization (GWO), particle swarm (PSO), and shuffled frog leaping ...
Website content and services attract surfers to visit page. Random visitor or first time need more user suggestion for increasing the retaining of user. This work has worked in field web page prediction as per previous visits. Web mining logs features were further processed extract linear regression feature from work. Extracted used testing phase. Frog leaping genetic algorithm was population g...
Glowworm swarm optimization (GSO) algorithm is a new intelligent optimization algorithm. Based on the problems of GSO, such as easy to fall into local optimum, slow convergence speed and low optimization precision, an improved GSO with group division is presented. Using shuffled frog leaping algorithm (SFLA), glowworms are divide into different ethnic groups, and local search and global informa...
It is well known that 0-1 knapsack problem (KP01) plays an important role in both computing theory and many real life applications. Due to its NP-hardness, lots of impressive research work has been performed on many variants of the problem. Inspired by region partition of items, an effective hybrid algorithm based on greedy degree and expectation efficiency (GDEE) is presented in this paper. In...
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