Abstract:This article addresses the flight control problem of air-breathing hypersonic vehicles and proposes a novel intelligent algorithm optimized control method. To achieve the climbing, cruising and descending flight control of the air-breathing hypersonic vehicle, an engineering-oriented flight control system based on a Proportional Integral Derivative (PID) method is designed for the hypersonic vehicle, which including the height loop, the pitch angle loop and the velocity loop. Moreover, as a variant of nature-i… Show more
“… Improve heuristic and intelligent algorithms such as Artificial Bee Colony algorithm [125,126], Cuckoo Search [127,128], Shuffled Frog Leaping [129,130] reported to have achieved good results in 3D workspace should be researched on how to develop it hybrid with Q-learning to solve WMR path planning problem in complex 2D workspace.…”
Highlights • This paper focus on review of mobile robot path planning algorithms. • Quantitative performance approach is proposed for evaluation of these algorithms in the study. • Objective conclusions are made on the performance of the path planning algorithms.
“… Improve heuristic and intelligent algorithms such as Artificial Bee Colony algorithm [125,126], Cuckoo Search [127,128], Shuffled Frog Leaping [129,130] reported to have achieved good results in 3D workspace should be researched on how to develop it hybrid with Q-learning to solve WMR path planning problem in complex 2D workspace.…”
Highlights • This paper focus on review of mobile robot path planning algorithms. • Quantitative performance approach is proposed for evaluation of these algorithms in the study. • Objective conclusions are made on the performance of the path planning algorithms.
“…Step 1: swarm generation; Step 2: memeplexes partition; Step 3: submemeplexes generation; Step 4: submemeplexs evolution; Step 5: memeplexes shuffle. The implementation flow of the SFLA is shown in Figure 10 (Liang et al, 2016). Figure 10.Flowchart of shuffled frog-leaping algorithm.…”
Section: Developing Informational Model To Estimate Compressive Strengthmentioning
confidence: 99%
“…The local search and shuffling procedure continue until the solution satisfies the needed index or the evolution generations are completed. Details of the SFLA steps can be schematized as follows (Liang et al, 2016):…”
Geopolymer concrete has developed as a potential alternative to ordinary Portland cement-based concrete, wherein various industrial by-products have been converted as beneficial spin-offs. Apart from appropriate compressive strength in the construction sector worldwide, the durability, sound absorption, thermal conductivity, and weight of concrete are also major concerns. Lightweight geopolymer concretes have gained attention because of their superior strength, durability, lower environmental impact, and sustainable characteristics. In this view, the current study examined the feasibility of using sawdust as a natural fine and coarse aggregate substitution in fly ash (FA)-granulated blast furnace slag (GBFS) based geopolymer concrete. Four mixes with a different percentage of sawdust (25, 50, 75, and 100) substituting natural aggregate were designed to examine the effects of sawdust on fresh and hardened features of geopolymer concrete compared to those conventional FA-GBFS-based geopolymer concrete with natural aggregate. Sodium silicate (NS) and sodium hydroxide (NH) (with NS/NH ratio of 0.75) were utilized to dissolve the alumina silicate from FA and GBFS. Informational models were developed using an experimental dataset to estimate the compressive strength of geopolymer concrete mix designs. Besides, using the weight of the developed network, a global sensitivity (GS) analysis was developed to identify the sensitivity of compressive strength to the waste sawdust content. Test results confirmed that by substituting natural aggregate with 100% sawdust, there was around a 35% decrease in compressive strength. Nevertheless, the sound absorption coefficient was increased by an average of 38% in frequencies range between 1800 and 2500 HZ, and thermal conductivity decreased by around 4.5 times once the natural aggregate was substituted by 100% sawdust.
“…It assumes that the greater inertia weight offers exploration while a smaller one raises the local exploration. Instead of considering a fixed inertia weight value, it is decreased repeatedly from a greater to smaller specified value [19,20]. , where m and n represents the number of documents and sentences in each document respectively.…”
Due to massive growth of Web information, handling useful information has become a challenging issue in now-a-days. In the past few decades, text summarization is considered as one of the solution to obtained relevant information from extensive collection of information. In this paper, a novel approach using modified shuffled frog leaping algorithm (MSFLA) to extract the important sentence from multiple documents is presented. The effectiveness of MSFLA algorithm for summarization model is evaluated by comparing the ROUGE score and statistical analysis of the model with respect to results of other summarization models. The models are demonstrated by the simulation results over DUC datasets. In the present work, it elucidates that MSFLA based model improves the results and find advisable solution for summary extraction. Povzetek: Na bazah dokumentov je bil uporabljen nov algoritem MSFLA za generiranje povzetkov dokumentov.
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