Compromise rank genetic programming for automated nonlinear design of disaster management
From MaRDI portal
Publication:1666814
DOI10.1155/2015/873794zbMath1394.90585OpenAlexW1600825218WikidataQ59119734 ScholiaQ59119734MaRDI QIDQ1666814
Publication date: 27 August 2018
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2015/873794
Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- A novel ranking method based on subjective probability theory for evolutionary multiobjective optimization
- On the convergence of multiobjective evolutionary algorithms
- Nonlinear black-box modeling in system identification: A unified overview
- Designing a supply chain network under the risk of disruptions
- Orthogonal least squares methods and their application to non-linear system identification
- Evolutionary Algorithms for Solving Multi-Objective Problems
This page was built for publication: Compromise rank genetic programming for automated nonlinear design of disaster management