Evolving Effective Bidding Functions for Auction based Resource Allocation Framework
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{conf/ijcci/Bader-El-DenF09,
-
author = "Mohamed Bahy Bader-El-Den and Shaheen Fatima",
-
title = "Evolving Effective Bidding Functions for Auction based
Resource Allocation Framework",
-
year = "2009",
-
booktitle = "International Conference on Evolutionary Computation
(ICEC 2009)",
-
editor = "Agostinho Rosa",
-
address = "Madeira, Portugal",
-
month = "5-7 " # oct,
-
publisher = "INSTICC Press",
-
keywords = "genetic algorithms, genetic programming",
-
isbn13 = "978-989-674-014-6",
-
URL = "https://www.researchgate.net/publication/221616501_Evolving_Effective_Bidding_Functions_for_Auction_based_Resource_Allocation_Framework",
-
URL = "https://researchportal.port.ac.uk/portal/en/publications/evolving-effective-bidding-functions-for-auction-based-resource-allocation-framework(5323b5d3-0e0a-446a-91d5-b64bb53a592f)/export.html",
-
broken = "http://eprints.port.ac.uk/id/eprint/3738",
-
bibdate = "2010-03-03",
-
bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/ijcci/ijcci2009.html#Salehi-AbariW09",
-
abstract = "In this paper, we present an auction based resource
allocation framework. This framework, called GPAuc,
uses genetic programming for evolving bidding
functions. We describe GPAuc in the context of the exam
timetabling problem (ETTP). In the ETTP, there is a set
of exams, which must be assigned to a predefined set of
slots. Here, the exam time tabling system is the seller
that auctions a set of slots. The exams are viewed as
the bidding agents in need of slots. The problem is
then to find a schedule (i.e., a slot for each exam)
such that the total cost of conducting the exams as per
the schedule is minimised. In order to arrive at such a
schedule, we need to find the bidders' optimal bids.
This is done using genetic programming. The
effectiveness of GPAuc is demonstrated experimentally
by comparing it with some existing benchmarks for exam
time-tabling.",
-
notes = "IJCCI
broken
http://www.icec.ijcci.org/Abstracts/2009/ICEC_2009_Abstracts.htm
Appears not to be in the book, Computational
Intelligence ISBN:978-3-642-20205-6, published by
springer.",
- }
Genetic Programming entries for
Mohamed Bahy Bader-El-Den
Shaheen Fatima
Citations