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In this chapter, we conduct computational studies to evaluate the performance of the various Benders decompositions and acceleration techniques introduced in previous chapters. We begin by outlining the framework for generating problem instances and describing the structure of our computational studies, including performance measures and parameters used. Following this, we present results that analyze different configurations of our model decompositions and assess the effectiveness of our solution approach on larger instances. Finally, we summarize key findings from our computational studies, discuss their limitations, and suggest potential avenues for future research based on the insights gained from our experiments.

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Computational Studies

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  • 发表日期：

    2025年

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  • Roman Delorme

摘要

In this chapter, we conduct computational studies to evaluate the performance of the various Benders decompositions and acceleration techniques introduced in previous chapters. We begin by outlining the framework for generating problem instances and describing the structure of our computational studies, including performance measures and parameters used. Following this, we present results that analyze different configurations of our model decompositions and assess the effectiveness of our solution approach on larger instances. Finally, we summarize key findings from our computational studies, discuss their limitations, and suggest potential avenues for future research based on the insights gained from our experiments.