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Recently, large language models (LLMs) have notably positioned them as capable tools for addressing complex optimization challenges.
The nature of heuristics
Douglas B Lenat · 1982
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Simulated annealing
Dimitris Bertsimas and John Tsitsiklis · 1993
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No free lunch theorems for optimization
David H Wolpert and William G Macready · 1997
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Power, value and supply chain management
Andrew Cox · 1999
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Ant colony optimization: Introduction and recent trends
Christian Blum · 2005
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Logistics systems
H Chr Pfohl · 2010
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Introduction to evolutionary algorithms
Xinjie Yu and Mitsuo Gen · 2010
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Optimization for engineering design: Algorithms and examples
Kalyanmoy Deb · 2012
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Optimization for machine learning
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Beibin Li, Konstantina Mellou, Bo Zhang, Jeevan Pathuri, and Ishai Menache · 2023
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Large language model for multi-objective evolutionary optimization
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Language model crossover: Variation through few-shot prompting
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Leveraging large language models for the generation of novel metaheuristic optimization algorithms
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Mathematical discoveries from program search with large language models
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