Optimizing agents with genetic programming: an evaluation of hyper-heuristics in dynamic real-time logistics

Volume: 19, Issue: 1, Pages: 93 - 120
Published: Jun 1, 2018
Abstract
Dynamic pickup and delivery problems (PDPs) require online algorithms for managing a fleet of vehicles. Generally, vehicles can be managed either centrally or decentrally. A common way to coordinate agents decentrally is to use the contract-net protocol (CNET) that uses auctions to allocate tasks among agents. To participate in an auction, agents require a method that estimates the value of a task. Typically, this method involves an optimization...
Paper Details
Title
Optimizing agents with genetic programming: an evaluation of hyper-heuristics in dynamic real-time logistics
Published Date
Jun 1, 2018
Volume
19
Issue
1
Pages
93 - 120
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