Review of design optimization methods for turbomachinery aerodynamics
Z Li, X Zheng - Progress in Aerospace Sciences, 2017 - Elsevier
In today's competitive environment, new turbomachinery designs need to be not only more
efficient, quieter, and “greener” but also need to be developed at on much shorter time …
efficient, quieter, and “greener” but also need to be developed at on much shorter time …
Multiobjective evolutionary algorithms for portfolio management: A comprehensive literature review
K Metaxiotis, K Liagkouras - Expert systems with applications, 2012 - Elsevier
In this paper we provide a review of the current state of research on Portfolio Management
with the support of Multiobjective Evolutionary Algorithms (MOEAs). Second we present a …
with the support of Multiobjective Evolutionary Algorithms (MOEAs). Second we present a …
[图书][B] Evolutionary algorithms for solving multi-objective problems
CAC Coello - 2007 - Springer
Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …
solution has been a challenge to researchers for a long time. Despite the considerable …
Evolutionary multi-objective optimization: a historical view of the field
CAC Coello - IEEE computational intelligence magazine, 2006 - ieeexplore.ieee.org
This article provides a general overview of the field now known as" evolutionary multi-
objective optimization," which refers to the use of evolutionary algorithms to solve problems …
objective optimization," which refers to the use of evolutionary algorithms to solve problems …
A faster algorithm for calculating hypervolume
We present an algorithm for calculating hypervolume exactly, the Hypervolume by Slicing
Objectives (HSO) algorithm, that is faster than any that has previously been published. HSO …
Objectives (HSO) algorithm, that is faster than any that has previously been published. HSO …
A fast way of calculating exact hypervolumes
We describe a new algorithm WFG for calculating hypervolume exactly. WFG is based on
the recently-described observation that the exclusive hypervolume of a point p relative to a …
the recently-described observation that the exclusive hypervolume of a point p relative to a …
Theory of the hypervolume indicator: optimal μ-distributions and the choice of the reference point
The hypervolume indicator is a set measure used in evolutionary multiobjective optimization
to evaluate the performance of search algorithms and to guide the search. Multiobjective …
to evaluate the performance of search algorithms and to guide the search. Multiobjective …
Many-objective optimization: An engineering design perspective
PJ Fleming, RC Purshouse, RJ Lygoe - International conference on …, 2005 - Springer
Evolutionary multicriteria optimization has traditionally concentrated on problems comprising
2 or 3 objectives. While engineering design problems can often be conveniently formulated …
2 or 3 objectives. While engineering design problems can often be conveniently formulated …
Diversity management in evolutionary many-objective optimization
SF Adra, PJ Fleming - IEEE Transactions on Evolutionary …, 2010 - ieeexplore.ieee.org
In evolutionary multiobjective optimization, the task of the optimizer is to obtain an accurate
and useful approximation of the true Pareto-optimal front. Proximity to the front and diversity …
and useful approximation of the true Pareto-optimal front. Proximity to the front and diversity …
An investigation on preference order ranking scheme for multiobjective evolutionary optimization
It may be generalized that all Evolutionary Algorithms (EA) draw their strength from two
sources: exploration and exploitation. Surprisingly, within the context of multiobjective (MO) …
sources: exploration and exploitation. Surprisingly, within the context of multiobjective (MO) …