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Fano Load Redux:CFO with Negative Gravity
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作者 Richard A.Formato 《Journal of Applied Mathematics and Physics》 2025年第6期2113-2127,共15页
This note describes optimally matching the seminal Fano Load using Central Force Optimization with Negative Gravity.This approach improves the best fitness by more than eighteen percent and suggests that some measure ... This note describes optimally matching the seminal Fano Load using Central Force Optimization with Negative Gravity.This approach improves the best fitness by more than eighteen percent and suggests that some measure of Negative Gravity should be used in all CFO runs.CFO is a deterministic Global Search and Optimization metaheuristic based on an analogy to gravitational kinematics,the motion of bodies moving under the influence of gravity.Positive gravity causes objects to move towards each other,whereas negative gravity causes them to fly apart.A small amount of negative gravity in CFO improves the algorithm’s exploration of the decision space by sampling regions that have been under-sampled or perhaps not sampled at all.The Fano Load problem illustrates this effect.While the possibility of Negative Gravity was mentioned in the original CFO paper,it was not used until recently when it was injected into optimization runs for Yagi-Uda antenna arrays.The results were compelling and led to the Fano Load problem being revisited. 展开更多
关键词 Central Force Optimization Fano Load negative gravity Optimization Metaheuristic Global Search and Optimization
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Central Force Optimization with Gravity <0, Elitism, and Dynamic Threshold Optimization: An Antenna Application, 6-Element Yagi-Uda Arrays
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作者 Richard A. Formato 《Wireless Engineering and Technology》 2021年第4期53-82,共30页
This paper investigates the effect of adding three extensions to Central Force Optimization when it is used as the Global Search and Optimization method for the design and optimization of 6-elementYagi-Uda arrays. Tho... This paper investigates the effect of adding three extensions to Central Force Optimization when it is used as the Global Search and Optimization method for the design and optimization of 6-elementYagi-Uda arrays. Those exten</span><span><span style="font-family:Verdana;">sions are </span><i><span style="font-family:Verdana;">Negative</span></i> <i><span style="font-family:Verdana;">Gravity</span></i><span style="font-family:Verdana;">, </span><i><span style="font-family:Verdana;">Elitism</span></i><span style="font-family:Verdana;">, and </span><i><span style="font-family:Verdana;">Dynamic</span></i> <i><span style="font-family:Verdana;">Threshold</span></i> <i><span style="font-family:Verdana;">Optimization</span></i><span style="font-family:Verdana;">. T</span></span><span style="font-family:Verdana;">he basic CFO heuristic does not include any of these, but adding them substan</span><span style="font-family:Verdana;">tially improves the algorithm’s performance. This paper extends the work r</span><span style="font-family:Verdana;">eported in a previous paper that considered only negative gravity and which </span><span style="font-family:Verdana;">showed a significant performance improvement over a range of optimized a</span><span style="font-family:Verdana;">rrays. Still better results are obtained by adding to the mix </span><i><span style="font-family:Verdana;">Elitism</span></i><span style="font-family:Verdana;"> and </span><i><span style="font-family:Verdana;">DTO</span></i><span style="font-family:Verdana;">. An overall improvement in best fitness of 19.16% is achieved by doing so. While the work reported here was limited to the design/optimization of 6-</span></span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">element Yagis, the reasonable inference based on these data is that any antenna design/optimization problem, indeed any Global Search and Optimiza</span><span style="font-family:Verdana;">tion problem, antenna or not, utilizing Central Force Optimization as the Gl</span><span style="font-family:Verdana;">obal Search and Optimization engine will benefit by including all three extensions, probably substantially. 展开更多
关键词 Yagi Yagi-Uda Array ANTENNA Antenna Design OPTIMIZATION Central Force Central Force Optimization CFO CFO-GED negative gravity ELITISM Dynamic Threshold Optimization DTO Dynamic Threshold Metaheuristic Evolutionary Computation
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A Combined Heterotic String and Kähler Manifold Elucidation of Ordinary Energy,Dark Matter,Olbers’s Paradox and Pure Dark Energy Density of the Cosmos
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作者 Mohamed S.El Naschie 《Journal of Modern Physics》 2017年第7期1101-1118,共18页
We utilize the topological-geometrical structure imposed by the Heterotic superstring theory on spacetime in conjunction with the K3 K&auml;hler manifold to explain the mysterious nature of dark matter and its cou... We utilize the topological-geometrical structure imposed by the Heterotic superstring theory on spacetime in conjunction with the K3 K&auml;hler manifold to explain the mysterious nature of dark matter and its coupling to the pure dark energy density of the cosmos. The analogous situations in the case of a Kerr black hole as well as the redundant components of the Riemannian tensor are pointed out and the final result was found to be in complete agreement with all previous theoretical ones as well as all recent accurate measurements and cosmic observations. We conclude by commenting briefly on the Cantorian model of Zitterbewegung and the connection between Olbers’s paradox and dark energy. 展开更多
关键词 Heterotic Strings K3 Kahler Manifold Dark Matter Pure Heterotic Dark Energy Einstein’s Relativity Accelerated Cosmic Expansion negative gravity Fractal Spacetime E-Infinity Theory Kerr Black Holes Geometry Kaluza-Klein Theory Dvoretzky’s Theorem Empty Set Zero Set Connes Noncommutative Geometry ‘tHooft Renormalon STATE Vector Reduction Density Matrix ‘tHooft Fractal Spacetime Transfinite Cellular Automata Interpretation of Quantum Mechanics ZITTERBEWEGUNG Olbers’s Dark Sky Paradox
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