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Peer-Review Record

An Empirical Analysis of Green Technology Innovation and Ecological Efficiency Based on a Greenhouse Evolutionary Ventilation Algorithm Fuzzy-Model

Sustainability 2020, 12(9), 3886; https://doi.org/10.3390/su12093886
by Xiumei Xu 1, Yu Sun 1,*, Sujatha Krishnamoorthy 2 and Karthik Chandran 3
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Sustainability 2020, 12(9), 3886; https://doi.org/10.3390/su12093886
Submission received: 17 March 2020 / Revised: 22 April 2020 / Accepted: 27 April 2020 / Published: 9 May 2020
(This article belongs to the Section Energy Sustainability)

Round 1

Reviewer 1 Report

  1. There are many format errors in the formula of the paper, so the formula must be edited again
  2. The algorithm is proposed by the author, and the availability and performance of the algorithm cannot be determined. Please verify the feasibility of the algorithm after sending the algorithm program and data

Author Response

Ans: It has been updated. Further typo errors and proof reading has been done

Ans: The feasibility check has been carried out and the numerical data has been clearly depicted in the Figure.4 to 6.

Ans:To implement an unreliable, combination optimization problem based on uncertainty utilizing a fuzzy, Quantum Greenhouse Evolutionary Ventilation approach comprised of several high-performance operators to explore a wider search environment shown in the above figure (4). The scheme uses the operators with a minimum likelihood to minimize the disorder within high-performing individuals while reversing the process for low-performance people. It is not always applicable to individuals to those operators listed. Alternatively, a flourishing rule is introduced, to reveal the fact that not all individuals are equally fit. The solutions are represented and rearranged in several categories; these features provide more space for study and exploitation of the algorithm output which is evaluated in various power systems. In general, regional green growth is very unbalanced and further explains the connection between high-end production technology and economic development level is high as shown in the above figure (5 & 6). First, because there are environmental policies, national filtration policies, and high talent density, the eastern coastal areas are economically and geographically durable. hence, it creates favorable conditions for progress in green technology in high-end manufacturing industries in the world. However, in the Midwest and northeast areas, the scientific and technological foundations of the long term are relatively weak. Lack of investment in research & development (R&D) resources, intellectual burn-out, high emissions and power-intensive industries dependent on endowment advantages all hindered developments in high-end high-tech manufacturing innovation in different degrees.

Reviewer 2 Report

The paper developes some considerations on the combination and convergence of energy intensive industries and the analysis of ecology efficiency. The authors suggest a synthesis of some models for the the prediction of greenhouse effects with particular regards to a Fuzzy-Model-Based Quantum Greenhouse Evolutionary Ventilation 19 Algorithm (FM-BSQGEVA) useful to minimize the CU problem.

The paper is very interesting. I suggest only some improvements.

  • Some typos must be corrected: capital letters after "." in abstract
  • The equations appear as figures and difficult to be read
  • The References must be improved with particular regards to some recent improvements in the analysis of sustainability; I suggest to quote and introduce the recent papers of Grisolia, some papers of Sciubba, some papers of Beretta.

 

Author Response

The paper developes some considerations on the combination and convergence of energy intensive industries and the analysis of ecology efficiency. The authors suggest a synthesis of some models for the the prediction of greenhouse effects with particular regards to a Fuzzy-Model-Based Quantum Greenhouse Evolutionary Ventilation 19 Algorithm (FM-BSQGEVA) useful to minimize the CU problem.

The paper is very interesting. I suggest only some improvements.

  • Some typos must be corrected: capital letters after "." in abstract

Ans: It has been updated.

  • The equations appear as figures and difficult to be read\

Ans:It has been modified and corrections has been updated.

From Eq(4 to 9)

  • The References must be improved with particular regards to some recent improvements in the analysis of sustainability; I suggest to quote and introduce the recent papers of Grisolia, some papers of Sciubba, some papers of Beretta.

Ans: The references has been updated.

 

Round 2

Reviewer 1 Report

There are errors in the formula format and a lot of "?

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