Search · four archives
Search · four archives
19 papers · ranked by Valyu relevance
Jie-Sheng Wang, Shuang Han
For predicting the key technology indicators (concentrate grade and tailings recovery rate) of flotation process, a feed-forward neural network (FNN) based soft-sensor model optimized by the hybrid algorithm combining particle swarm optimization (PSO) algorithm and gravitational search algorithm (GSA) is proposed.…
Youchuan Wan, Mingwei Wang, Zhiwei Ye, Xudong Lai
Texture image classification is an important topic in many applications in machine vision and image analysis. Texture feature extracted from the original texture image by using “Tuned” mask is one of the simplest and most effective methods. However, hill climbing based training methods could not acquire the satisfying…
Soodabeh Darzi, Mohammad Tariqul Islam, Sieh Kiong Tiong, Salehin Kibria + 2 more
'Salehin Kibria' 'Mandeep Singh' 'Wen-Bo Du'] In this paper, stochastic leader gravitational search algorithm (SL-GSA) based on randomized k is proposed. Standard GSA (SGSA) utilizes the best agents without any randomization, thus it is more prone to converge at suboptimal results. Initially, the new approach randomly…
Rebwar Khalid Hamad, Tarik A. Rashid
Nature-Inspired Computing or NIC for short is a relatively young field that tries to discover fresh methods of computing by researching how natural phenomena function to find solutions to complicated issues in many contexts. As a consequence of this, ground-breaking research has been conducted in a variety of domains…
Khin Maung Htay, Rozmie Razif Othman, Amiza Amir, Hasneeza Liza Zakaria + 1 more
'Hasneeza Liza Zakaria' 'Nuraminah Ramli'] Abstract— Software faults are commonly occurred due to interactions between one or more input parameters in complex software systems. Software test design techniques can be implemented to ensure the quality of the developed software. Exhaustive testing tests all possible test…
Linyue Qiu, Xiangying Hou, Shushen Gao, Zhengminqing Li + 2 more
'Tien V.T. Nguyen'] To determine the optimal design parameters of spur gear under a specific condition, based on the basic theories of gear dynamics theory, gear meshing principle, tooth contact analysis and load tooth contact analysis, a six-degree-of-freedom vibration analysis model of spur gear pair is established…
Mohammad Reza Sharifi, Saeid Akbarifard, Mohamad Reza Madadi, Kourosh Qaderi + 1 more
The use of evolutionary algorithms (EAs) for solving complex engineering problems has been very promising, so the application of EAs for optimal operation of hydropower reservoirs can be of great help. Accordingly, this study investigates the capability of 14 recently-introduced robust EAs in optimization of energy…
Mohamed Ali Rakrouki, Nawaf Alharbe, Miguel A. Sánchez Vidales, Óscar García + 1 more
'Óscar García' 'Ricardo S. Alonso'] This paper deals with the challenging problem of scheduling users’ tasks, while taking into consideration users’ quality of service (QoS) requirements, with the objective of reducing the energy consumption of physical machines. This paper presents a model to analyze the current state…
Susheel Kumar Joshi
algorithm Authors: ['Susheel Kumar Joshi'] Due to its robust search mechanism, Gravitational search algorithm (GSA) has achieved lots of popularity from different research communities. However, stagnation reduces its searchability towards global optima for rigid and complex multi-modal problems. This paper proposes a…
Zhonghua Yang, Yuanli Cai, Ge Li, Shu-Chuan Chu
The gravitational search algorithm is a global optimization algorithm that has the advantages of a swarm intelligence algorithm. Compared with traditional algorithms, the performance in terms of global search and convergence is relatively good, but the solution is not always accurate, and the algorithm has difficulty…
Trenton S. Sieb, Ajay Singh, Lorelei Guidos, Hashim A. Hashim
—Nonlinear pose (i.e, attitude and position) filters are characterized with simpler structure and better tracking performance in comparison with other methods of pose estimation. A critical factor when designing a nonlinear pose filter is the selection of the error function. Conventional design of nonlinear pose filter…
Soodabeh Darzi, Sieh Kiong Tiong, Mohammad Tariqul Islam, Hassan Rezai Soleymanpour + 2 more
'Hassan Rezai Soleymanpour' 'Salehin Kibria' 'Wen-Bo Du'] An experience oriented-convergence improved gravitational search algorithm (ECGSA) based on two new modifications, searching through the best experiments and using of a dynamic gravitational damping coefficient (α), is introduced in this paper. ECGSA saves its…
Alfredo J. P. Barbosa, Edmilson M. Moreira, Carlos Henrique Valério de Moraes, Otávio A. S. Carpinteiro
'Carlos Henrique Valério de Moraes' 'Otávio A. S. Carpinteiro'] The Gravitational Search Algorithm (GSA) is an optimization algorithm based on Newton's laws of gravity and dynamics. Introduced in 2009, the GSA already has several versions and applications. However, its performance depends on the values of its…
Salar Farahmand‐Tabar, Sina Shirgir
Opposition-based learning (OBL) is an effective approach to improve the performance of metaheuristic optimization algorithms, which are commonly used for solving complex engineering problems. This chapter provides a comprehensive review of the literature on the use of opposition strategies in metaheuristic optimization…
Changin Oh, Kathleen P. Wilkie
We present the Toroidal Search Algorithm (TSA), a novel population-based metaheuristic optimization method inspired by the topology of a torus. Conventional metaheuristics frequently suffer from boundary stagnation, a phenomenon that severely degrades performance in bounded and high-dimensional search spaces. TSA…
Antônio Augusto Chaves, Maurício G. C. Resende, Ricardo M. A. Silva
This paper proposes a problem-independent GRASP metaheuristic using the random-key optimizer (RKO) paradigm. GRASP (greedy randomized adaptive search procedure) is a metaheuristic for combinatorial optimization that repeatedly applies a semi-greedy construction procedure followed by a local search procedure. The best…
Yan Chen, Zhe-Xin Xu
Visual search in natural environments involves numerous objects, each composed of countless features. Despite this complexity, our brain efficiently locates targets. Here, we propose that an internal reference frame facilitates real-world visual search. Objects in natural scenes often appear in orientations perceived…
Authors not listed
With the ever-increasing demand for atomistic structures representative of real-life systems as well as the ad-vent of exascale computers, it has now become necessary and possible to use advanced global optimization (GO) techniques to intelligently sample the potential energy surface (PES). Given the previous studies…
Yanqi Wu, Vieyiti K. Kouadio, Thomas R. Usherwood, Justin Li + 7 more
Marine phytoplankton face eco-evolutionary pressure to regulate their vertical position in the ocean to access light, which is abundant towards the surface, and nutrients, which are found deeper down the water column. All phytoplankton experience gravitational sinking, which can contribute to their vertical migration.…