Finding all Pareto optimal paths by simulating ripple relay race in multi-objective networks

Hu, Xiao-Bing; Gu, Sheng-Hao; Zhang, Chi; Zhang, Gongpeng; Zhang, Ming-Kong; Leeson, Mark S.

doi:10.1016/j.swevo.2021.100908

Cited by 15 publications

(11 citation statements)

References 54 publications

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“…3) used in statistics for decision making shows the effect of the independent variables on the zeolite formation. The basic principle of Pareto analysis is based on the 80/20 rule, meaning that 80% of the results come from 20% of the means or causes, thus few factors (20%) are vital and many (80%) are insignificant 32,33 …”

Section: Resultsmentioning

confidence: 99%

“…The basic principle of Pareto analysis is based on the 80/20 rule, meaning that 80% of the results come from 20% of the means or causes, thus few factors (20%) are vital and many (80%) are insignificant. 32,33 Figure 3 illustrates the Pareto Chart of the main effects, as well as the two-factor interactions that have a significant impact on zeolite formation at ⊍ = 0.1 significance level. The hydrothermal temperature bar crosses the red line and is statistically significant in zeolite synthesis.…”

Section: Zeolite Synthesis In the 1st Experimental Seriesmentioning

confidence: 99%

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Conversion of lignite fly ash into synthetic zeolite by hydrothermal, fusion‐hydrothermal, and hydrothermal‐sonochemical processes

Kastanaki,

Rovithi,

Iatrou

et al. 2023

J of Chemical Tech & Biotech

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The purpose of this study was the conversion of calcareous lignite fly ash (LFA) into synthetic zeolite by hydrothermal, fusion‐hydrothermal and hydrothermal ‐sonochemical processes. Experiments were carried out using raw and washed (5 N HCl) fly ash. Initially, the fractional factorial experimental design was used to plan the hydrothermal experiments and assess the process parameters such as solid to liquid ratio (S/L), silica to aluminum oxide ratio (SiO2/Al2O3), calcium oxide content (% CaO), time and temperature of the hydrothermal process. The optimized conditions were then applied to a two‐stage fusion‐hydrothermal process, while the influence of sonication on the conversion efficiency was tested before and after the hydrothermal process. Mineralogical analysis was performed by X‐ray diffractometer (XRD) to detect zeolite formation. Further characterization was conducted by X‐ray fluorescence (XRF), specific surface area and laser particle analysis to assess process efficiency. The results indicated the formation of four types of zeolite crystals. The washed LFA yielded the maximum zeolite yield, when it was hydrothermally treated for 6 h at 150 oC, S/L=1:2, and SiO2/Al2O3=6.3. In such conditions, phillipsite was synthesized at 27%. The yield of phillipsite zeolite was improved to 32% when hydrothermal was followed by a 30 min sonication process. At the same processing conditions, the use of raw LFA produced 72% crystalline tobermorite. The hydrothermal‐late sonication process can effectively convert waste fly ash into valuable products.This article is protected by copyright. All rights reserved.

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Section: Resultsmentioning

confidence: 99%

Section: Zeolite Synthesis In the 1st Experimental Seriesmentioning

confidence: 99%

Conversion of lignite fly ash into synthetic zeolite by hydrothermal, fusion‐hydrothermal, and hydrothermal‐sonochemical processes

Kastanaki,

Rovithi,

Iatrou

et al. 2023

J of Chemical Tech & Biotech

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“…Paper [30] extends the ripple-spreading algorithm proposed in [62] for the singleobjective shortest path problem of the MOSPP. The ripple-spreading algorithm is an exact method based on labeling, with an approach similar to the pulse algorithm [63] but which defines search areas for each node in order to limit the computation, instead of guiding it recursively.…”

Section: Labeling Techniquesmentioning

confidence: 99%

Multiobjective Path Problems and Algorithms in Telecommunication Network Design—Overview and Trends

Craveirinha,

Clímaco,

Girão-Silva

et al. 2024

Algorithms

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A major area of application of multiobjective path problems and resolution algorithms is telecommunication network routing design, taking into account the extremely rapid technological and service evolutions. The need for explicit consideration of heterogeneous Quality of Service metrics makes it advantageous for the development of routing models where various technical–economic aspects, often conflicting, should be tackled. Our work is focused on multiobjective path problem formulations and resolution methods and their applications to routing methods. We review basic concepts and present main formulations of multiobjective path problems, considering different types of objective functions. We outline the different types of resolution methods for these problems, including a classification and overview of relevant algorithms concerning different types of problems. Afterwards, we outline background concepts on routing models and present an overview of selected papers considered as representative of different types of applications of multiobjective path problem formulations and algorithms. A broad characterization of major types of path problems relevant in this context is shown regarding the overview of contributions in different technological and architectural network environments. Finally, we outline research trends in this area, in relation to recent technological evolutions in communication networks.

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“…A fundamental principle of RSA is water surface ripple, which spreads at a constant speed in all directions. Therefore, it reaches spatial points, and the pole closest to the source will be the first to be reached according to the distance from the epicenter [6][8] [51]. Considerations are rising about whether RSA is better suited for zigzag or straight-line methods.…”

Section: Feasibility Of Ripple-spreading Algorithmmentioning

confidence: 99%

Prospects and challenges of ripple spreading algorithm for waste collection path optimization problem in Indonesia

Miftahadi

Ramadan

Rachman

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Nowadays, countering the complexity of waste collection path optimization problems (POP) are reliably solved through evolutionary computation (EC). However, a sustainable collection strategy requires a specific rule and outcome for a given route network. Most waste managers are concerned with expenditure, work hours, and ecological footprints, combined with model flexibility to mimic real-life execution for the specific study case. Contemporary stochastic and deterministic POP methods are every so often confronted with optimality and scalability. Beyond its predecessor, namely the A* and the Dijkstra algorithm, a fundamental nature-based deterministic algorithm called a Ripple-Spreading Algorithm (RSA) had performed a straightforward heuristic evaluation. This study investigates prospects and future challenges in developing the RSA simulation based on Indonesia’s waste management scope. Specific overseas theme literature was employed to explore the possible research setting.

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Finding all Pareto optimal paths by simulating ripple relay race in multi-objective networks

Cited by 15 publications

References 54 publications

Conversion of lignite fly ash into synthetic zeolite by hydrothermal, fusion‐hydrothermal, and hydrothermal‐sonochemical processes

Conversion of lignite fly ash into synthetic zeolite by hydrothermal, fusion‐hydrothermal, and hydrothermal‐sonochemical processes

Multiobjective Path Problems and Algorithms in Telecommunication Network Design—Overview and Trends

Prospects and challenges of ripple spreading algorithm for waste collection path optimization problem in Indonesia

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