A Min-Max Strategy to Aid Decision Making in a Bi-Objective Discrete Optimization Problem Using an Improved Ant Colony Algorithm

Journals Menu

Follow SCIRP

ISSN Print: 2160-8830
ISSN Online: 2160-8849
www.scirp.org/journal/ajor
E-mail: ajor@scirp.org

"A Min-Max Strategy to Aid Decision Making in a Bi-Objective Discrete Optimization Problem Using an Improved Ant Colony Algorithm"
written by Douglas Yenwon Kparib, Stephen Boakye Twum, Douglas Kwasi Boah,
published by American Journal of Operations Research, Vol.9 No.4, 2019

has been cited by the following article(s):

[1]	Game theory-based maximum likelihood method for finite-element-model updating of civil engineering structures
	Alonso, I Duvnjak, A Pavić - Engineering Structures, 2023

[2]	Bi-Objective Optimization: A Pareto Method with Analytical Solutions
	Applied Mathematics, 2023

[3]	Optimization of Innovation and Entrepreneurship Education and Training System in Colleges and Universities Based on OpenStack Cloud Computing
	Scientific Programming, 2022

Follow SCIRP

Free SCIRP Newsletters

Add your e-mail address to receive free newsletters from SCIRP.

Top