The 2018 invited lectures discuss from data to information granules: a data science perspective, state-of-the-art evolutionary algorithms for dynamic multi-objective optimization
, artificial intelligence 2.0: augmented intelligence, and data-driven decision making in manufacturing: how we got there and where to next.
using evolutionary algorithms (Vol.
Moreover, when dealing with a multi-objective optimization
problem, Taguchi method runs into difficulties [18,19].
These topics mainly include constellation design on the basis of geometric analytical and by using multi-objective optimization
Smith, Multi-objective optimization
using genetic algorithms: A tutorial, Reliability Engineering & System Safety 91 (9) (2006) 992-1007.
Among all the multi-objective optimization
method, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is found to be more efficient in solving Multi-Criteria Decision Making (MCDM) problems because it offers a simple computational technique, less computational time, and values are close to the ideal solution.
The contribution of this article is to apply an established multi-objective optimization
A multi-objective optimization
algorithm introduced into Evolution Origin for scheduling with blocks has been expanded to handle scheduling with solids.
[3.] Xu, W., Miao, T., and Liu, Z., "An Efficient Multi-Objective Optimization
Method for Complicated Vehicle Random Vibration," Applied Mechanics and Materials 94-96:1694-1700, 2011.
A new concept to non-linear multi-objective optimization
problem in neutrosophic environment is discussed in this paper.
of HVAC system with an evolutionary computation algorithm.
Deb, "A hybrid framework for evolutionary multi-objective optimization
," IEEE Transactions on Evolutionary Computation, vol.