1998
DOI: 10.1016/s0165-1889(97)00102-4
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A genetic game of trade, growth and externalities

Abstract: Cataloged from PDF version of article.A genetic algorithm is introduced to search for optimal policies in the presence of\ud knowledge spillovers and local pollution in a dynamic North/South trade game. Noncooperative\ud trade compounds inefficiencies stemming from externalities. Cooperative\ud trade policies are efficient and yet not credible. Short of a joint maximization of the global\ud welfare, transfer of knowledge remains as a viable route to improve world welfare.\ud 0 1998 Elsevier Science B.V. All ri… Show more

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Cited by 23 publications
(12 citation statements)
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“…34,35). The numerical problems introduced by the local optima are typically addressed by the choice of a global optimization method such as simulated annealing or a genetic algorithm [2,59].…”
Section: Article In Pressmentioning
confidence: 99%
“…34,35). The numerical problems introduced by the local optima are typically addressed by the choice of a global optimization method such as simulated annealing or a genetic algorithm [2,59].…”
Section: Article In Pressmentioning
confidence: 99%
“…Alemdar and Özyildirim [3,4] contribute to this literature. Both papers assume a global economy comprised of two regions, North and South.…”
Section: Economic Growthmentioning
confidence: 96%
“…The paper identifies some main factors which could increase the efficiency of voluntary agreements. 3 …”
Section: Pollution Control Instrumentsmentioning
confidence: 99%
See 1 more Smart Citation
“…Player one is a GA, GA O , which evolves fw The details of the parallel GAs can be found in Alemdar and Ö zyıldırım (1998). This parallelism is later extended to an online approximation of Stackelberg equilibria in Alemdar and Sirakaya (2003) and feedback Nash equilibria in Sirakaya and Alemdar (2003).…”
Section: Genetic Algorithms As An Optimization Heuristicmentioning
confidence: 99%