Search · four archives
Search · four archives
16 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, 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…
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…
Vishal Pradhan, Arijit Patra, Ankush Jain, Garima Jain + 7 more
'Joydip Dhar' 'Anjan Bandyopadhyay' 'Saurav Mallik' 'Naim Ahmad' 'Ahmed Said Badawy' 'Vedik Basetti'] Software reliability growth models (SRGMs) are universally admitted and employed for reliability assessment. The process of software reliability analysis is separated into two components. The first component is model…
Soodabeh Darzi, Tiong Sieh Kiong, Mohammad Tariqul Islam, Mahamod Ismail + 2 more
'Mahamod Ismail' 'Salehin Kibria' 'Balasem Salem'] Linear constraint minimum variance (LCMV) is one of the adaptive beamforming techniques that is commonly applied to cancel interfering signals and steer or produce a strong beam to the desired signal through its computed weight vectors. However, weights computed by…
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…
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…
Mahmoud Ragab, Hani Choudhry, Amer H. Asseri, Sami Saeed Binyamin + 2 more
'Mohammed W. Al-Rabia' 'Rocío De Andrés Calle'] Effective screening provides efficient and quick diagnoses of COVID-19 and could alleviate related problems in the health care system. A prediction model that combines multiple features to assess contamination risks was established in the hope of supporting healthcare…
Hazlee Azil Illias, Ming Ming Lim, Ab Halim Abu Bakar, Hazlie Mokhlis + 3 more
'Hazlie Mokhlis' 'Sanuri Ishak' 'Mohd Dzaki Mohd Amir' 'Mohd Nadhir Ab Wahab'] In power system networks, automatic fault diagnosis techniques of switchgears with high accuracy and less time consuming are important. In this work, classification of abnormal location in switchgears is proposed using hybrid gravitational…
Mohammad Dehghani, Štěpán Hubálovský, Pavel Trojovský, Wojciech Kempa + 1 more
'Wojciech Kempa' 'Iwona Paprocka'] Numerous optimization problems designed in different branches of science and the real world must be solved using appropriate techniques. Population-based optimization algorithms are some of the most important and practical techniques for solving optimization problems. In this paper, a…
Thanh Sang-To, Minh Hoang-Le, Magd Abdel Wahab, Thanh Cuong-Le
In this study, a meta-heuristic algorithm, named The Planet Optimization Algorithm (POA), inspired by Newton's gravitational law is proposed. POA simulates the motion of planets in the solar system. The Sun plays the key role in the algorithm as at the heart of search space. Two main phases, local and global search…
Jianfeng He, Tao Wang, Yongjin Li, Yinglei Deng + 1 more
Background Kinetic parameters estimated with dynamic 18F-FDG PET/CT can help to characterize hepatocellular carcinoma (HCC). We aim to evaluate the feasibility of the gravitational search algorithm (GSA) for kinetic parameter estimation and to propose a dynamic chaotic gravitational search algorithm (DCGSA) to enhance…
Yoshikazu Yamanaka, Katsutoshi Yoshida, Seyedali Mirjalili
In real world situations, decision makers prefer to have multiple optimal solutions before making a final decision. Aiming to help the decision makers even if they are non-experts in optimization algorithms, this study proposes a new and simple multimodal optimization (MMO) algorithm called the gravitational particle…