How close simple EAs’ optimal solutions can approach global optima: experience from water distribution system design problems
An issue regarding near-optimal solutions identified by evolutionary algorithms (EAs) is that their absolute deviations from the global optima are often unknown, and hence an EA's performance in handling real-world problems remains unclear. To this end, this paper investigates how close optimal...
Main Authors: | Hang Yin, Chengna Xu, Fengyi Yao, Shipeng Chu, Yuan Huang |
---|---|
Format: | Article |
Language: | English |
Published: |
IWA Publishing
2021-03-01
|
Series: | Aqua |
Subjects: | |
Online Access: | http://aqua.iwaponline.com/content/70/2/171 |
Similar Items
-
A Local Optima Network View of Real Function Fitness Landscapes
by: Marco Tomassini
Published: (2022-05-01) -
La tasa óptima de extracción de un recurso natural bajo incertidumbre
by: Raúl Aníbal Feliz
Published: (1992-07-01) -
Actividades en la adolescencia: Experiencias óptimas y autopercepciones
by: Alejandra Daniela Calero
Published: (2016-12-01) -
Imposición óptima y descentralización fiscal: El caso del IRPF
by: Alejandro Esteller More
Published: (2021-05-01) -
Imposición óptima, evasión y equidad
by: Mónica Aranda
Published: (2019-04-01)