A Population Adaptive Based Immune Algorithm for Solving Multi-objective Optimization Problems

@inproceedings{Chen2006APA,
  title={A Population Adaptive Based Immune Algorithm for Solving Multi-objective Optimization Problems},
  author={Jun Chen and Mahdi Mahfouf},
  booktitle={ICARIS},
  year={2006}
}
The primary objective of this paper is to put forward a general framework under which clear definitions of immune operators and their roles are provided. To this aim, a novel Population Adaptive Based Immune Algorithm (PAIA) inspired by Clonal Selection and Immune Network theories for solving multi-objective optimization problems (MOP) is proposed. The algorithm is shown to be insensitive to the initial population size; the population and clone size are adaptive with respect to the search… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 27 CITATIONS

Optimal Speed Profile Generation for Airport Ground Movement with Consideration of Emissions

  • 2015 IEEE 18th International Conference on Intelligent Transportation Systems
  • 2015
VIEW 4 EXCERPTS
HIGHLY INFLUENCED

Interpretable fuzzy modeling using multi-objective immune-inspired optimization algorithms

  • International Conference on Fuzzy Systems
  • 2010
VIEW 8 EXCERPTS
CITES BACKGROUND & METHODS

Enhancing decision support systems for airport ground movement

VIEW 3 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

MOCSA: A Multi-Objective Crow Search Algorithm for Multi-Objective optimization

  • 2017 2nd Conference on Swarm Intelligence and Evolutionary Computation (CSIEC)
  • 2017

Multi-objective fuzzy rule-based prediction and uncertainty quantification of aircraft taxi time

  • 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC)
  • 2017
VIEW 2 EXCERPTS
CITES METHODS

Immune algorithm and intelligent devices for schedule overlap prevention in electric transport

  • 2016 57th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)
  • 2016
VIEW 1 EXCERPT
CITES METHODS

References

Publications referenced by this paper.
SHOWING 1-10 OF 21 REFERENCES

Multi-Objective Optimization using Evolutionary Algorithms

K. Deb
  • Chichester, U.K.: Wiley
  • 2001
VIEW 7 EXCERPTS
HIGHLY INFLUENTIAL

An artificial immune network for multimodal function optimization

  • Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)
  • 2002
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

Towards a network theory of the immune system.

VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Multi-Objective Artificial Immune System for Optimization in Electrical Engineering

F. Freschi
  • PhD Thesis, Politecnico di Torino, Department of Electrical Engineering, Torino, Italy
  • 2006
VIEW 1 EXCERPT

ACSAMO: An Adaptive Multiobjective Optimization Algorithm using the Clonal Selection Principle

X. L. Wang, M. Mahfouf
  • The First European Symposium on Natureinspired Smart Information Systems. Albufeira, Portugal
  • 2005
VIEW 1 EXCERPT