Investigating the Value of Information and Computational Capabilities by Applying Genetic Programming to Supply Chain Management

Although next-generation information network infrastructure is prerequisite for continued economic growth, the United States is losing ground in important areas relative to peer countries. Businesses and regulators have grown concerned that the U.S. lacks the correct regulatory and business incentives to upgrade the existing network. Due to the complex and dynamic nature of the interdependencies in the ICT value network, traditional methods of public policy and management analysis have proven inadequate to fully understand the issues and possible solutions. This paper discusses a novel Genetic Programming (GP) approach to the problem. Although only a first step towards addressing the problem, the GP discovered several interesting results stemming from the complex interactions. For example, telecommunications companies would actually be hurt by the option to charge discriminatory prices but application providers would benefit.

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“…The remaining control parameters were set based on previous work using GPs in a network or management context (Moore and DeMaagd 2004).…”

Section: Genetic Programmentioning

confidence: 99%

Modeling the dynamic interactions of agents in the provision of network infrastructure

DeMaagd

Bauer

2010

Inf Syst Front

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“…The remaining control parameters were set based on previous work using GPs in a network or management context [29].…”

Section: Genetic Programmentioning

confidence: 99%

A Genetic Programming Approach to Network Management Regulation

DeMaagd

Bauer

2010

2010 43rd Hawaii International Conference on System Sciences

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Although next-generation information network infrastructure is prerequisite for continued economic growth, the United States is falling behind in this area relative to many other countries. Businesses and regulators have grown concerned that the U.S. lacks the correct regulatory and business incentives to upgrade its network. Due to the complex and dynamic nature of this problem, traditional analytic tools have proven inadequate. This paper discusses a Genetic Programming (GP) approach to the problem. Although only a first step towards addressing the problem, the GP discovered several interesting results stemming from the complex interactions. For example, telecommunications companies would actually be hurt by the option to charge discriminatory prices but application providers would benefit.

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Grammatical evolution in developing optimal inventory policies for serial and distribution supply chains

Phelan

McGarraghy

2015

International Journal of Production Research

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Investigating the Value of Information and Computational Capabilities by Applying Genetic Programming to Supply Chain Management

Cited by 3 publications

References 4 publications

Modeling the dynamic interactions of agents in the provision of network infrastructure

Modeling the dynamic interactions of agents in the provision of network infrastructure

A Genetic Programming Approach to Network Management Regulation

Grammatical evolution in developing optimal inventory policies for serial and distribution supply chains

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