Evolutionary normal-boundary intersection (ENBI) method for multi-objective optimization of green sand mould system

@article{Ganesan2011EvolutionaryNI,
  title={Evolutionary normal-boundary intersection (ENBI) method for multi-objective optimization of green sand mould system},
  author={Timothy Ganesan and Irraivan Elamvazuthi and Pandian M. Vasant},
  journal={2011 IEEE International Conference on Control System, Computing and Engineering},
  year={2011},
  pages={86-91}
}
In multi-objective engineering optimization, it is very rare that there exists a unique ideal solution that covers every aspect of the problem. Thus, it is very useful for the decision maker to have multiple options prior to the selection of the best solution. In this work, a novel evolutionary normal boundary intersection (ENBI) method is introduced to identify optimal solutions to the green sand mould system problem. The ENBI method provides a uniform spread of the Pareto frontier in which… 

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References

SHOWING 1-10 OF 28 REFERENCES
Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems
TLDR
This paper proposes an alternate method for finding several Pareto optimal points for a general nonlinear multicriteria optimization problem that can handle more than two objectives while retaining the computational efficiency of continuation-type algorithms.
Multi-objective optimization of green sand mould system using evolutionary algorithms
TLDR
In this study, non-linear regression equations developed between the control factors (process parameters) and responses like green compression strength, permeability, hardness and bulk density have been considered for optimization utilizing GA and PSO.
Analysis of the pareto front of a multi-objective optimization problem for a fossil fuel power plant
  • J. H. Van Sickel, P. Venkatesh, K.Y. Lee
  • Environmental Science
    2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century
  • 2008
This paper examines the Pareto front of a simple fossil fuel power plant using a common third-order model. This front is first examined analytically. Then the power plant model is transferred over to
Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study
TLDR
In this paper an extensive, quantitative comparison is presented, applying four multiobjective evolutionary algorithms to an extended 0/1 knapsack problem.
An Investigation of Grinding Process Optimization via Evolutionary Algorithms
TLDR
Numerical results show that PSO is comparatively superior in comparison with DE and GA algorithms for grinding process optimization in terms of its accuracy and convergent capability.
A fast and elitist multiobjective genetic algorithm: NSGA-II
TLDR
This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently.
Fault Tolerant Design Using Single and Multicriteria Genetic Algorithm Optimization.
TLDR
This research shows that a single criterion genetic algorithm can be expected to outperform other methods in efficiency, accuracy, and speed on problems of moderate to high complexity.
Genetic programming - on the programming of computers by means of natural selection
  • J. Koza
  • Computer Science
    Complex adaptive systems
  • 1993
TLDR
This book discusses the evolution of architecture, primitive functions, terminals, sufficiency, and closure, and the role of representation and the lens effect in genetic programming.
...
...