Paul K. Bergey

Works (6)

Updated: July 5th, 2023 15:59

2009 article

Dynamic Effects among Movie Ratings, Movie Revenues, and Viewer Satisfaction

Moon, S., Bergey, P. K., & Iacobucci, D. (2009, December 8). Journal of Marketing.

By: S. Moon n, P. Bergey n & D. Iacobucci *

author keywords: movie ratings; professional critics; amateur communities; movie revenues; consumer satisfaction
topics (OpenAlex): Digital Marketing and Social Media; Cinema and Media Studies; Media Influence and Politics
Source: Web Of Science
Added: August 6, 2018

2006 journal article

The coming knowledge and capability shortage

Research Technology Management, 49(4), 15–23.

By: L. Aiman-Smith, P. Bergey, A. Cantwell & M. Doran

Source: NC State University Libraries
Added: August 6, 2018

2005 journal article

Forced distribution rating systems and the improvement of workforce potential: A baseline simulation

Personnel Psychology, 59(1), 1–32.

By: S. Scullen, P. Bergey & L. Aiman-Smith

Source: NC State University Libraries
Added: August 6, 2018

2005 journal article

Modified differential evolution: a greedy random strategy for genetic recombination

Omega, 33(3), 255–265.

By: P. Bergey & C. Ragsdale

Source: NC State University Libraries
Added: August 6, 2018

2003 journal article

A decision support system for the electrical power districting problem

Decision Support Systems, 36(1), 17-.

By: P. Bergey, C. Ragsdale & M. Hoskote

Source: NC State University Libraries
Added: August 6, 2018

2003 article

A Simulated Annealing Genetic Algorithm for the Electrical Power Districting Problem

Bergey, P. K., Ragsdale, C. T., & Hoskote, M. (2003, June 6). Annals of Operations Research.

By: P. Bergey n, C. Ragsdale * & M. Hoskote*

author keywords: electricity deregulation; genetic algorithms; simulated annealing; multi-criteria decision making
topics (OpenAlex): Electric Power System Optimization; Metaheuristic Optimization Algorithms Research; ICT Impact and Policies; Vehicle Routing Optimization Methods; Optimal Power Flow Distribution
TL;DR: This research introduces and tests a new algorithm for solving the electrical power districting problem in the context of the Republic of Ghana and uses a random test problem generator to show that the mimetic algorithm, the Simulated Annealing Genetic Algorithm, outperforms a well-known Parallel SimulatedAnnealing heuristic on this new and interesting problem manifested by the deregulation of electricity markets. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

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