Complementing Solutions to Optimization Problems via Crowdsourcing on Video Game Plays

Volume: 10, Issue: 23, Pages: 8410 - 8410
Published: Nov 26, 2020
Abstract
Leveraging human insight and intuition has been identified as having the potential for the improvement of traditional algorithmic methods. For example, in a video game, a user may not only be entertained but may also be challenged to beat the score of another player; additionally, the user can learn complicated concepts, such as multi-objective optimization, with two or more conflicting objectives. Traditional methods, including Tabu search and...
Paper Details
Title
Complementing Solutions to Optimization Problems via Crowdsourcing on Video Game Plays
Published Date
Nov 26, 2020
Volume
10
Issue
23
Pages
8410 - 8410
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