Results 211 to 220 of about 21,806 (260)

Discovering High Entropy Alloy Electrocatalysts in Vast Composition Spaces with Multiobjective Optimization. [PDF]

J Am Chem Soc
Xu W, Diesen E, He T, Reuter K, Margraf JT.   +4 more
europepmc   +1 more source

Design of information management model based on multiobjective optimization algorithm in intelligent electric financial system. [PDF]

PeerJ Comput Sci
Hu J, Cai H, Zhang S, Pei C, Wang Z.
europepmc   +1 more source

Managing low-acuity patients in an Emergency Department through simulation-based multiobjective optimization using a neural network metamodel. [PDF]

Health Care Manag Sci
Boresta M, Giovannelli T, Roma M.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Multiobjective Evolution Strategy for Dynamic Multiobjective Optimization

IEEE Transactions on Evolutionary Computation, 2020
This article presents a novel evolution strategy-based evolutionary algorithm, named DMOES, which can efficiently and effectively solve multiobjective optimization problems in dynamic environments. First, an efficient self-adaptive precision controllable mutation operator is designed for individuals to explore and exploit the decision space.
Kai Zhang 0002, Chaonan Shen, Xiaoming Liu 0004, Gary G. Yen   +3 more
openaire   +1 more source

Evolutionary multiobjective optimization

WIREs Data Mining and Knowledge Discovery, 2011
AbstractThis paper presents a very short introduction to multiobjective evolutionary algorithms, including their basic concepts and their main components. The discussion focuses on algorthmic design and, therefore, the issues discussed include selection mechanisms, diversity maintenance mechanisms, and elitism in a multi‐objective context.
openaire   +2 more sources

Evolutionary multiobjective optimization

Proceedings of the 10th annual conference companion on Genetic and evolutionary computation, 2007
Many real-world search and optimization problems are naturally posed as non-linear programming problems having multiple conflicting objectives.Due to lack of suitable solution techniques, such problems are usually artificially converted into a single-objective problem and solved.
Eckart Zitzler, Kalyanmoy Deb
openaire   +1 more source

Multiobjective query optimization

Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, 2001
The optimization of queries in distributed database systems is known to be subject to delicate trade-offs. For example, the Mariposa database system allows users to specify a desired delay-cost tradeoff (that is, to supply a decreasing function u(d), specifying how much the user is willing to pay in order to receive the query results within time d ...
Christos H. Papadimitriou, Mihalis Yannakakis   +1 more
openaire   +1 more source

A novel elitist multiobjective optimization algorithm: Multiobjective extremal optimization

European Journal of Operational Research, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Min-Rong Chen, Yong-Zai Lu
openaire   +1 more source

Interactive multiobjective optimization procedure

AIAA Journal, 1999
This research focuses on multiobjective system design and optimization. The primary goal is to develop and test a mathematically rigorous and efficient interactive multiobjective optimization algorithm that takes into account the designer's preferences during the design process.
Ravindra Tappeta, John Renaud
openaire   +1 more source