Zheng-Ming GaoJingchu university of technology · School of computer engineering
Zheng-Ming Gao
Doctor of Engineering
Looking for potential cooperation in machine learning, algorithms, applications, and NSFC foundations
About
72
Publications
17,262
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730
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Introduction
An associate professor majored in a school of computer engineering, Jingchu university of technology. Jingmen, China. Focusing on intelligent information technologies and computation.
Additional affiliations
July 2018 - May 2022
Jingchu University of Technology
Position
- Faculty researcher
Description
- Lecture on Linux OS and contribute mainly on researches of swarm intelligence and intelligent information technology
Education
September 1998 - December 2009
xi'an research institute of high tecchology
Field of study
- nuclear engineering; fault diagonsis
Publications
Publications (72)
Background
With the development of intelligent technology, Unmanned aerial vehicles (UAVs) are widely used in military and civilian fields. Path planning is the most important part of UAV navigation system. Its purpose is to find a smooth and feasible path from the start to the end.
Objective
In order to obtain a better flight path, this paper pre...
![Figure 6. The schematic model of three-bar truss [72].](profile/Zheng-Ming-Gao/publication/368223141/figure/fig1/AS:11431281117565987@1675470302353/The-schematic-model-of-three-bar-truss-72_Q320.jpg)
![Figure 7. The schematic model of compression spring design problem [72].](profile/Zheng-Ming-Gao/publication/368223141/figure/fig2/AS:11431281117583376@1675470302422/The-schematic-model-of-compression-spring-design-problem-72_Q320.jpg)
![Figure 8. The schematic model of pressure vessel [72].](profile/Zheng-Ming-Gao/publication/368223141/figure/fig3/AS:11431281117521455@1675470302495/The-schematic-model-of-pressure-vessel-72_Q320.jpg)
![Figure 9. The schematic model of speeds reducer design problem [72].](profile/Zheng-Ming-Gao/publication/368223141/figure/fig4/AS:11431281117593278@1675470302524/The-schematic-model-of-speeds-reducer-design-problem-72_Q320.jpg)
The aquila optimization algorithm (AO) is an efficient swarm intelligence algorithm proposed recently. However, considering that AO has better performance and slower late convergence speed in the optimization process. For solving this effect of AO and improving its performance, this paper proposes an enhanced aquila optimization algorithm with a ve...
This paper proposes an improved variant of the arithmetic optimization algorithm (AOA), called LMRAOA, which is used to solve numerical and engineering problems. Various strategies are proposed to improve AOA. First, Multi-Leader Wandering Around Search Strategy (MLWAS) is proposed to improve the exploration ability of the algorithm on global scale...
In this paper, a self-adaptive classification learning hybrid JAYA and Rao-1 algorithm, which is called EHRJAYA, is proposed for solving large-scale numerical problems and real-world complex engineering optimization problems. JAYA algorithm and Rao-1 algorithm are two kinds of algorithms with simple structure and superior performance, which have th...
The intelligent clonal optimizer (ICO) is a new evolutionary algorithm, which adopts a new cloning and selection mechanism. In order to improve the performance of the algorithm, quasi-opposition-based and quasi-reflection-based learning strategy is applied according to the transition information from exploration to exploitation of ICO to speed up t...
Chaotic maps were frequently introduced to generate random numbers and used to replace the pseudo-random numbers distributed in Gauss distribution in computer engineering. These improvements in optimization were called the chaotic improved optimization algorithm, most of them were reported better in literature. In this paper, we collected 19 classi...
Because of the No Free Lunch (NFL) rule, we are still under the way developing new algorithms and improving the capabilities of the existed algorithms. Under consideration of the simple and steady convergence capability of the sine cosine algorithm (SCA) and the fast convergence rate of the Harris Hawk optimization (HHO) algorithms, we hereby propo...
In order to research the aging mechanism of HTPB propellants, molecular dynamics (MD) simulation method was used to study the aging mechanism of HTPB propellants after aging reaction. The changes of mechanical properties, binding energy, cohesive energy density and other properties of solid propellants were predicted when HMX was decomposed and HTP...
A new swarm-based optimization algorithm called the Aquila optimizer (AO) was just proposed recently with promising better performance. However, as reported by the proposer, it almost remains unchanged for almost half of the convergence curves at the latter iterations. Considering the better performance and the lazy latter convergence rates of the...
In order to maximize the acquisition of photovoltaic energy when applying photovoltaic systems, the efficiency of photovoltaic system depends on the accuracy of unknown parameters in photovoltaic models. Therefore, it becomes a challenge to extract the unknown parameters in the photovoltaic model. It is well known that the equations of photovoltaic...
In order to have the highest efficiency in real-life photovoltaic power generation systems, how to model, optimize and control photovoltaic systems has become a challenge. The photovoltaic power generation systems are dominated by photovoltaic models, and its performance depends on its unknown parameters. However, the modeling equation of the photo...
Many new algorithms have been proposed to solve the mathematical equations formulated to describe the real-world problems. But there still does not exist one algorithm that could solve the problems all. And most of the proposed algorithms have defects in some aspects, they need to be improved in application. In order to find a more efficient optimi...
Considering the complicated multimodality, separability, scalability, symmetry characteristics of real-world engineering problems, we are still under the way to find more capable algorithms to solve them. The Aquila optimization (AO) algorithm was just proposed recently, however, the original version of this algorithm had some defects in the exploi...
Chaotic maps were usually introduced to improve the original swarm-based nature-inspired algorithms. Due to their chaotic characteristics, the chaotic maps were introduced to replace the pseudo random numbers in computer engineering and consequently better performance would be achieved. In this paper, we introduce another chaotic improvement to the...
Along with the increasing number of nature-inspired algorithms, more and more benchmark functions were also involved in the initial verification experiments. The benchmark functions were introduced to verify the capability of algorithms in optimization, but not all of them could be optimized, because they were different from each other in dimension...
Literal researches proved that not only the best candidates or the best historical trajectories would perform well in guiding the individuals in swarms to find the best solution, the worst and the worst historical trajectories would also work well in doing so. Such situations could be directly treated as pairs of oppositions, and satisfied the anci...
The global best or historical best positions were involved in updating positions of individuals in swarms for almost all of the swarm-based nature-inspired algorithms with exceptions for the averages. However, literal research to the particle swarm optimization (PSO) algorithm had proved that the all of the candidates would also leave the global be...
Both the Harris hawk optimization (HHO) algorithm proposed in 2016 and the slime moud algorithm proposed recently had complicated disciplines for individuals to update their positions. And both of them were proved to be capable of finding the best solutions for either benchmark functions or real engineering problems. In this paper, we further hybri...
In this paper, a hybridization algorithm of the equilibrium optimization (EO) algorithm and the slime mould (SM) algorithm was proposed. The better performance of the SM algorithm in optimization both benchmark functions and real engineering problems were all encouraging. And consequently, the multiple updating discipline for individuals in swarms...
The sine cosine (SC) algorithm was very popular for scientists and engineers since it was raised in 2016, it was an efficient, simple algorithm that could be applied in real problems. In this paper, an improved version of the SC algorithm with multiple updating ways for individuals in swarms during iterations was proposed. Inspired by the slime mou...
The grey wolf optimization (GWO) algorithm was proposed in 2014 and after several years of applications, it was used worldwide and all over the subjects which involved computation. Various improvements have been raised to increase the capability of optimization. Based on the best performance of the slimd mould (SM) algorithm in optimization, a hybr...
The mayfly optimization (MO) algorithm was just proposed recently, simulation experiments proved that it was capable to optimize both the benchmark functions and the real problems we met. In this paper, the MO algorithm would be improved with Chebyshev map, simulation experiments were carried out and results showed that the improved algorithm would...
The mayfly optimization (MO) algorithm was proposed with a better hybridization of the particle swarm optimization (PSO) and the differential evolution (DE) algorithms. The velocity would be relevant to the Cartesian distance among the relevant individuals. In this paper, a reasonable revision for the velocity updating equations was proposed based...
Analysis of the influence of the decay heating power of plutonium is one of the important tasks of the process in design of nuclear reactors, nuclear waste disposal or mechanical analysis of nuclear explosive devices. The paper simulated the decay heating power of some isotopes by means of cascade decay dynamics, then numerical regression was done...
In this paper, we proposed an improvement for the newly raised swarm-based algorithm called the slime mould algorithm (SMA) with chaos. The so-called chaotic SMA introduced the specific Chebyshev mapping, which had already been verified to perform better in optimization. Three types of simulation experiments were carried out with the unimodal, mult...
In this paper, we proposed the Levy flights to replace the random numbers whether it was in Gauss distribution or uniform distribution in the standard slime mould algorithm (SMA). Three kinds of classical benchmark functions such as the unimodal, multimodal benchmark functions and those who have basins which we could see clearly from their three di...
In this paper, we hybridize the grey wolf optimization (GWO) algorithm with the newly proposed slime mould algorithm (SMA). Comparisons had been made and three kinds of benchmark functions were introduced to verify the capability. 100 Monte Carlo simulation experiments had been carried on to reduce the influence of randomness as less as possible. R...
The grey wolf optimisation (GWO) algorithm has fewer numbers of variables and appears quite simple with outstanding capabilities in solving the problems, which are used to describe mathematically what human met in nature. However, it still has its capability to be improved in the convergence ratio, stability, and reduce the errors. And it is also e...
The best candidates play the important role during the exploration and exploitation of individuals in almost all of the swarm-based algorithms. More best candidates were involved in such procedure of the grey wolf optimization algorithm and the newly raised equilibrium optimization (EO) algorithm we called here. The EO algorithm introduced four bes...
In this paper, we proposed the improvement of the newly raised equilibrium optimization (EO) algorithm by hybridizing the grey wolf optimization (GWO) algorithm. Simulation experiments were carried out and results showed that the hybrid EO algorithm with averaged candidates would perform better than the original one. Considering the better results...
Interaction activities between the laser photons and the molecular of high explosives were described; the threshold of the laser beams’ power on the surface of the high explosives is achieved limiting the interaction probability between molecules of the high explosive and the photons, their changes of properties with the mathematical norm commonly...
With a hypothesis that the social hierarchy of the grey wolves would be also followed in their searching positions, an improved grey wolf optimization (GWO) algorithm with variable weights (VW-GWO) is proposed. And to reduce the probability of being trapped in local optima, a new governing equation of the controlling parameter is also proposed. Sim...
The bat algorithm and its mathematical principles were briefly introduced, and then its parameters were summarized and eventually classified into three types. The influence on the convergence rate of the algorithm by parameter was studied based on the analytic operation of the benchmark functions. results showed that the population size, weight fac...
In order to explain the security of high explosives (HEs) when measuring their properties with X- or γ-rays and increase the testing speed, the threshold of the rays' intensity was achieved by limiting the interaction probability between the high explosives' molecules and the photons, the absorption ratio of the photons' energy into the high explos...
Based on the method FW-H acoustic model, how the parameters influence acoustic characteristics of the Hartmann acoustic generator were studied, which are resonator length, spacing between the jet and resonator tube, the diameter of resonator tube. The conclusions were induced just as below. The total sound pressure level (SPL) increases with the le...
In order to analyze the structural characteristics or calculate the support force of large-scale complex systems with spherical joints, an approximated method was raised simplifying the force of inner bodies to contact pressure with a hypothesis that the contact zones is ideally spherical. The contact pressure distribution is obtained and normal fo...
The paper firstly shows out the critical point in the application of the blind equalization method based on BP neural network according to the demand of its design, and then simulation is done to verify its characteristics. The paper gives the guiding opinions in the process of design, application and improvement of the blind equalizer based on BP...
Based on electromagnetic-wave penetration method, the electromagnetic wave attenuation abilities of six kinds of CNTs were studied in experiment at 12~18 GHz, whose diameter at 30 nm, 60 nm, 100 nm and length at 2 μm and 15 μm. Such results are concluded from the experiment. With the same diameter 30 nm, the absorption ability of CNTs with the leng...
In order to find the thermal dynamical effect of the exothermic materials on the mechanical capability of the nuclear explosive device, the thermal physics analysis of the nuclear explosive device with public hypothetic models was done. The heat-producing power of weapon-grade plutonium (WgPu), weapon-grade uranium (WgU) and depleted uranium (DU) p...
Study of thermal, force and nuclear radiation of weapons-grade-plutonium (WgPu) is one of the essential problems faced in the research of whole-device-storage (WDS) of nuclear weapons. The rule of decay heating power of WgPu per kilogram was obtained according to the public data, and regression analysis was implemented by the least square method be...
Decay cascade equations describing the decay ways of radioactive isotopes are very complex due to the complexity of decay ways and variety of daughters. This work solved the decay dynamic functions and gave the simplified analytical answer equations in three forms by means of function matrix. The decay dynamic functions were simplified and can be e...
Questions
Questions (4)
There might be more than two hundred new algorithms proposed in the literature, and more improvements were also raised. However, we still find some of the problems remain incapable to solve. Which and when will we come to the end?
Dear all,
I am working on a comparison of different algorithms based on the classical benchmark functions. However, I find a very astonished resutls: During the Monte Carlo simulations (run for several times in a same conditions), the algorithms performed a same result and find a same point every time. I am curious and doubt about the randomness. And in my opinion, the best values might be the same, but the best positons should be different. Am I right? Why the algorithms performed the same?
Affiliated one of them called the grey wolf optimization algorithm, for most of the unimodal benchmark functions, they performed the same results as : 2.448269E-53, at point (-1.4747E-26, 6.031969E-29).
I am graduate from other major, and now working in computer science and technology, my roomates are mostly researching on image recognition. I want to switch to it and learn how to cooperate with them. But I am still out of way.
Please help me how to gain the access to image recognition. I am skilled at nature inspired algorithms now. I have read some papers on image segmation but I don't know what to do. If you are skilled, could you show me a way?
Anybody knows such journals?
(1) indexed by EI and not SCI;
(2) free charges or low charges ( less than 1k USD)
(3)international, not very competive to be accpeted
