Optimization of CO2 emission reduction using evolutionary game theory strategies

The study tackles an evolutionary game that focuses on the problem of reducing carbon emissions to protect the environment. It aims to discuss the use of evolutionary game theory (EGT) in analyzing the strategies of three players—the private companies, the local government, and the environmental dep...

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Main Authors: Santiago, Gabriel Kyle Sabado, Dionisio, Alfonso Karl Trivino
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Language:English
Published: Animo Repository 2024
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Online Access:https://animorepository.dlsu.edu.ph/etdb_math/42
https://animorepository.dlsu.edu.ph/context/etdb_math/article/1046/viewcontent/2024_Santiago_Dionisio_Optimization_of_CO2_emission_reduction_using_evolutionary_game_th.pdf
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Institution: De La Salle University
Language: English
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spelling oai:animorepository.dlsu.edu.ph:etdb_math-10462024-08-20T07:10:15Z Optimization of CO2 emission reduction using evolutionary game theory strategies Santiago, Gabriel Kyle Sabado Dionisio, Alfonso Karl Trivino The study tackles an evolutionary game that focuses on the problem of reducing carbon emissions to protect the environment. It aims to discuss the use of evolutionary game theory (EGT) in analyzing the strategies of three players—the private companies, the local government, and the environmental department aimed at optimizing the reduction of CO2 emissions. As industries continue to expand leading to economic growth, more challenges occur affecting environmental sustainability. This is a global issue, so countries around the world are forced to seek alternative solutions that support national development but at the same time protect the environment that sustains lives. In this research work, we apply the EGT framework to study the cooperative or noncooperative behaviors of these players using the concepts of evolutionary stable strategies, Prisoner’s Dilemma, equilibrium selection, and replicator dynamics. An emission game model is examined to understand the possible situations based on the behavioral approaches of the stakeholders in consideration of the revenues and costs that result from their interactions. The study also includes simulations of situations by considering changes in various parameters that affect the overall payoffs of the players. The results of this work are beneficial for those who are interested in studying the field of evolutionary game theory, which proves to be applicable in dealing with real-world concerns such as ecological preservation. 2024-01-01T08:00:00Z text application/pdf https://animorepository.dlsu.edu.ph/etdb_math/42 https://animorepository.dlsu.edu.ph/context/etdb_math/article/1046/viewcontent/2024_Santiago_Dionisio_Optimization_of_CO2_emission_reduction_using_evolutionary_game_th.pdf Mathematics and Statistics Bachelor's Theses English Animo Repository Carbon dioxide mitigation Game theory Mathematical optimization Mathematics
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Carbon dioxide mitigation
Game theory
Mathematical optimization
Mathematics
spellingShingle Carbon dioxide mitigation
Game theory
Mathematical optimization
Mathematics
Santiago, Gabriel Kyle Sabado
Dionisio, Alfonso Karl Trivino
Optimization of CO2 emission reduction using evolutionary game theory strategies
description The study tackles an evolutionary game that focuses on the problem of reducing carbon emissions to protect the environment. It aims to discuss the use of evolutionary game theory (EGT) in analyzing the strategies of three players—the private companies, the local government, and the environmental department aimed at optimizing the reduction of CO2 emissions. As industries continue to expand leading to economic growth, more challenges occur affecting environmental sustainability. This is a global issue, so countries around the world are forced to seek alternative solutions that support national development but at the same time protect the environment that sustains lives. In this research work, we apply the EGT framework to study the cooperative or noncooperative behaviors of these players using the concepts of evolutionary stable strategies, Prisoner’s Dilemma, equilibrium selection, and replicator dynamics. An emission game model is examined to understand the possible situations based on the behavioral approaches of the stakeholders in consideration of the revenues and costs that result from their interactions. The study also includes simulations of situations by considering changes in various parameters that affect the overall payoffs of the players. The results of this work are beneficial for those who are interested in studying the field of evolutionary game theory, which proves to be applicable in dealing with real-world concerns such as ecological preservation.
format text
author Santiago, Gabriel Kyle Sabado
Dionisio, Alfonso Karl Trivino
author_facet Santiago, Gabriel Kyle Sabado
Dionisio, Alfonso Karl Trivino
author_sort Santiago, Gabriel Kyle Sabado
title Optimization of CO2 emission reduction using evolutionary game theory strategies
title_short Optimization of CO2 emission reduction using evolutionary game theory strategies
title_full Optimization of CO2 emission reduction using evolutionary game theory strategies
title_fullStr Optimization of CO2 emission reduction using evolutionary game theory strategies
title_full_unstemmed Optimization of CO2 emission reduction using evolutionary game theory strategies
title_sort optimization of co2 emission reduction using evolutionary game theory strategies
publisher Animo Repository
publishDate 2024
url https://animorepository.dlsu.edu.ph/etdb_math/42
https://animorepository.dlsu.edu.ph/context/etdb_math/article/1046/viewcontent/2024_Santiago_Dionisio_Optimization_of_CO2_emission_reduction_using_evolutionary_game_th.pdf
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