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An optimization model for a monopolistic firm serving an environmentally conscious market: Use of chemical reaction optimization algorithm paper by Independent / Community
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Paper

An optimization model for a monopolistic firm serving an environmentally conscious market: Use of chemical reaction optimization algorithm

by Independent / Community 0007f90848a2dcd9f2e446795f645d3518a87b45
Free2AITools Nexus Index
67.7
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 81
P: Popularity 57
R: Recency 100
Q: Quality 65
Tech Context
Vital Performance —

This work considers a monopolist firm which faces the following twin challenges of serving an environmentally sensitive market. The first challenge is the demand׳s elasticity to emissions and price. To entice its emission conscious customers and generate higher demand, the firm incrementally invests in cleaner production technologies. It also adopts a voluntary limit on its emissions from transportation. However, such investments and penalty lead to the second challenge of reduced net profit....

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Semantic Scholar 26 Citations
Paper Information Summary
Entity Passport
Registry ID 0007f90848a2dcd9f2e446795f645d3518a87b45
License ArXiv
Provider semantic_scholar
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Cite this paper

Academic & Research Attribution

BibTeX 
@misc{0007f90848a2dcd9f2e446795f645d3518a87b45,
  author = {Unknown},
  title = {An optimization model for a monopolistic firm serving an environmentally conscious market: Use of chemical reaction optimization algorithm Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/0007f90848a2dcd9f2e446795f645d3518a87b45}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). An optimization model for a monopolistic firm serving an environmentally conscious market: Use of chemical reaction optimization algorithm [Paper]. Free2AITools. https://api.semanticscholar.org/0007f90848a2dcd9f2e446795f645d3518a87b45

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⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 81
Popularity (P) 57
Recency (R) 100
Quality (Q) 65

💬 Index Insight

FNI V2.0 for An optimization model for a monopolistic firm serving an environmentally conscious market: Use of chemical reaction optimization algorithm: Authority (A:81), Popularity (P:57), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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📝 Executive Summary

"This work considers a monopolist firm which faces the following twin challenges of serving an environmentally sensitive market. The first challenge is the demand׳s elasticity to emissions and price. To entice its emission conscious customers and generate higher demand, the firm incrementally invests in cleaner production technologies. It also adopts a voluntary limit on its emissions from transportation. However, such investments and penalty lead to the second challenge of reduced net profit...."

❝ Cite Node 

@article{Unknown2026An,
  title={An optimization model for a monopolistic firm serving an environmentally conscious market: Use of chemical reaction optimization algorithm},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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Read the full paper on arXiv

📊 Research Signals

📈26CitationsSemantic Scholar
🏛️81AuthorityFNI pillar
⏱️100RecencyFNI pillar
✅65QualityFNI pillar
🗂️automation workflowField
📦Data Source: semantic_scholar
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🆔 Identity & Source

source
semantic_scholar
author
Unknown
license
ArXiv
tags
paper, research, academic

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architecture
null
params billions
null
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null
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citations
26

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