You are in:Home/Publications/A chaotic owl search algorithm based bilateral negotiation model

Dr. Diaa Salama AbdElminam :: Publications:

Title:
A chaotic owl search algorithm based bilateral negotiation model
Authors: Author links open overlay panelWalaa H.El-AshmawiacDiaa SalamaAbd ElminaambcAyman M.NabilcEsraaEldesoukyda
Year: 2020
Keywords: Owl search algorithm Bilateral negotiation Chaos Meta-heuristic algorithms Logistic chaotic map Negotiation tactics
Journal: Ain Shams Engineering Journaljournal homepage: www.sciencedirect.comPlease cite this article as: W. H. El-Ashmawi, D. S. Abd Elminaam, A. M. Nabil et al., A chaotic owl search algorithm based bilateral negotiation model,AinShams Engineering
Volume: Not Available
Issue: Not Available
Pages: Not Available
Publisher: Not Available
Local/International: International
Paper Link: Not Available
Full paper Diaa Salama AbdElminam_1-s2.0-S2090447920300071-main.pdf
Supplementary materials Not Available
Abstract:

Negotiation is a core activity between stakeholders with different goals. This paper offers a solution based on the automated bilateral negotiation model using a recent meta-heuristic algorithm Owl Search Algorithm (OSA), and chaos theory. The proposed algorithm called Chaotic Owl Search Algorithm (COSA). This algorithm is used to adapt negotiation strategies for computing negotiation offers throughout the negotiation process. For this aim, a negotiation grasped between two parties during several negotiation rounds. The results of the proposed algorithm compared with the standard OSA, PSO and the most common negotiation tactics. Different control parameters considered for accurate judgments of the suggested optimization techniques. The comparative study proved that the COSA provides accurate results over compared algorithms in terms of Average buyers’ /seller’s utility, Average negotiation rounds and

Google ScholarAcdemia.eduResearch GateLinkedinFacebookTwitterGoogle PlusYoutubeWordpressInstagramMendeleyZoteroEvernoteORCIDScopus