Results 301 to 310 of about 2,735,316 (329)

Niche Distributions on the Pareto Optimal Front

2003
This paper examines the use of fitness sharing in evolutionary multi-objective optimization (EMO) algorithms to form a uniform distribution of niches along the non-dominated frontier. A long-standing, implicit assumption is that fitness sharing within an equivalence class, such as the Pareto optimal set, can form dynamically stable (under selection ...
openaire   +1 more source

Pareto-Front Computation and Automatic Sizing of CPPLLs

8th International Symposium on Quality Electronic Design (ISQED'07), 2007
A comprehensive performance space exploration on system level offers designers a fast way to get insight into the capability of the whole system for a given technology. The authors consider a charge-pump phase-locked loop (CPPLL) system. In this paper performance space exploration is applied not only to the building blocks but to the whole CPPLL system
Jun Zou, Daniel Mueller 0001, Helmut E. Graeb, Ulf Schlichtmann   +3 more
openaire   +2 more sources

Pareto-Front Exploration with Uncertain Objectives

2001
We consider the problem of exploration of the set of all global optima (Pareto-points) or an approximation thereof in the context of multi-objective function optimization. Up to now, set oriented techniques assume that the evaluation of the m-dimensional vector of objectives can be done exactly which is important to steer the search process towards ...
openaire   +1 more source

Hybrid approach for Pareto front expansion in heuristics

Journal of the Operational Research Society, 2011
Heuristic search can be an effective multi-objective optimization tool; however, the required frequent function evaluations can exhaust computational sources. This paper explores using a hybrid approach with statistical interpolation methods to expand optimal solutions obtained by multiple criteria heuristic search.
Haluk Yapicioglu, H. Liu, Alice E. Smith, Gerry V. Dozier   +3 more
openaire   +2 more sources

A Pareto Front grid guided multi-objective evolutionary algorithm

Applied Soft Computing, 2023
Ying-Tao Xu, Huan Zhang, Lei Huang, Rong Qu, Y. Nojima   +4 more
semanticscholar   +1 more source

Moving Along the Pareto Front

2009
A method to sort out the optimal solutions located along the Pareto front is proposed as a possible criterion of innovative design. The idea, in fact, is to investigate non-dominated solutions in a comparative way in view of a twofold scope: to help decision making, on one hand, and to identify previously unpredicted, innovative solutions, on the other
openaire   +1 more source

A survey on pareto front learning for multi-objective optimization

Journal of Membrane Computing
Shida Kang, Kaiwen Li, Rui Wang
semanticscholar   +1 more source

Multi-Objective Evolutionary Optimization Based on Online Perceiving Pareto Front Characteristics

Information Sciences, 2021
Dunwei Gong, Zekuan Yu
exaly  

A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts

IEEE/CAA Journal of Automatica Sinica, 2021
Kuangrong Hao, Yicun Hua, Yaochu Jin
exaly  

Preserving Primary Care: The Front Line in the War Against Cancer

Ca-A Cancer Journal for Clinicians, 2007
Richard C Wender
exaly