F
Farhad Soleimanian Gharehchopogh
Researcher at Islamic Azad University
Publications - 135
Citations - 3738
Farhad Soleimanian Gharehchopogh is an academic researcher from Islamic Azad University. The author has contributed to research in topics: Computer science & Feature selection. The author has an hindex of 18, co-authored 105 publications receiving 1167 citations. Previous affiliations of Farhad Soleimanian Gharehchopogh include Çukurova University & Hacettepe University.
Papers
More filters
Journal ArticleDOI
African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems
TL;DR: The proposed African Vultures Optimization Algorithm (AVOA) is named and simulates African vultures’ foraging and navigation behaviors and indicates the significant superiority of the AVOA algorithm at a 95% confidence interval.
Journal ArticleDOI
A comprehensive survey: Whale Optimization Algorithm and its applications
TL;DR: An overview of WOA is described in this paper, rooted from the bubble-net hunting strategy, besides an overview ofWOA applications that are used to solve optimization problems in various categories.
Journal ArticleDOI
Artificial gorilla troops optimizer: A new nature-inspired metaheuristic algorithm for global optimization problems
TL;DR: Wang et al. as mentioned in this paper proposed a new metaheuristic algorithm inspired by the collective intelligence of natural organisms in nature, called Artificial Gorilla Troops Optimizer (GTO).
Journal ArticleDOI
Farmland fertility: A new metaheuristic algorithm for solving continuous optimization problems
TL;DR: The farmland fertility in problems with smaller dimensions problems has been able to act as a strong metaheuristic algorithm and it has optimized problems nicely and the effectiveness of other algorithms decreases significantly with number of dimensions and the farmland fertility obtains better results than other algorithms.
Journal ArticleDOI
A comprehensive survey on symbiotic organisms search algorithms
TL;DR: This study encourages the researchers and developers of meta-heuristic algorithms to use symbiotic organisms search (SOS), which has been able to solve the majority of engineering issues so far, because it is a simple and powerful algorithm to solve complex and NP-hard problems.