Search Results - subject:"Evolutionary programming"

Site selection and system sizing of desalination plants powered with renewable energy sources based on a web-GIS platform

Koutroulis, Eftichios; Petrakis, George; Agou, Vicky; … - In: International journal of energy sector management 16 (2022) 3, pp. 469-492

Persistent link: https://www.econbiz.de/10013345668

Application of PSO algorithm to choose the best scenario for energy demand forecast of residential and commercial sectors in Iran

Nazari, Hesam; Kazemi, Aliyeh - In: International Journal of Energy Sector Management 10 (2016) 4, pp. 576-593

Purpose This paper aims to select the best scenario for energy demand forecast of residential and commercial sectors in Iran by using particle swarm optimization algorithm. Design/methodology/approach In this study, using variables affecting energy demand of residential and commercial sectors in...

Persistent link: https://www.econbiz.de/10014774024

Application of PSO algorithm to choose the best scenario for energy demand forecast of residential and commercial sectors in Iran

Nazari, Hesam; Kazemi, Aliyeh - In: International journal of energy sector management : IJESM 10 (2016) 4, pp. 576-593

Persistent link: https://www.econbiz.de/10011639044

A new algorithm for combined dynamic economic emission dispatch with security constraints

Arul, R.; Velusami, S.; Ravi, G. - In: Energy 79 (2015) C, pp. 496-511

-adaptive differential harmony search) algorithm is found to be better than EP (evolutionary programming), DHS, and the other proposed …

Persistent link: https://www.econbiz.de/10011190897

Cost benefit analysis on SVC and UPFC in a dynamic economic dispatch problem

Sreejith, Sekharan; P. Simon, Sishaj - In: International Journal of Energy Sector Management 8 (2014) 3, pp. 395-428

Purpose – The aim of this paper is to compare the performance of static VAR compensator (SVC) and unified power flow controller (UPFC) in dynamic economic dispatch (DED) problem. DED schedules the online generator outputs with the predicted load demands over a certain period so that the...

Persistent link: https://www.econbiz.de/10014773820

Cost benefit analysis on SVC and UPFC in a dynamic economic dispatch problem

Sreejith, Sekharan; Simon, Sishaj P. - In: International journal of energy sector management : IJESM 8 (2014) 3, pp. 395-428

Persistent link: https://www.econbiz.de/10010424965

Una introducción a la computación evolutiva y algunas de sus aplicaciones en Economía y Finanzas = An Introduction to Evolutionary Computation and Some of its Applications in Economics and Finance

Quintero, Santana; Vicente, Luis; Coello Coello, Carlos A. - In: Revista de Métodos Cuantitativos para la Economía y … 2 (2006) 1, pp. 3-26

culminated in the three paradigms in most common use within evolutionary computation today: genetic algorithms, evolutionary … programming and evolution strategies. In the second part of the paper, we provide some applications that are representative of the …

Persistent link: https://www.econbiz.de/10005634771

Solving resource-constrained project scheduling problem with evolutionary programming

Sebt, M. H.; Alipouri, Y.; Alipouri, Y. - In: Journal of the Operational Research Society : OR 64 (2013) 9, pp. 1327-1335

Persistent link: https://www.econbiz.de/10009788639

Principal concepts in applied evolutionary computation : emerging trends

Hong, Wei-Chiang (contributor) - 2012

"This book provides an introduction to the important interdisciplinary discipline of evolutionary computation, an artificial intelligence field that combines the principles of computational intelligence with the mechanisms of the theory of evolution"--Provided by publisher.

Persistent link: https://www.econbiz.de/10011727437

A new EP-based α–β–γ–δ filter for target tracking

Wu, Chun-Mu; Chang, Ching-Kao; Chu, Tung-Te - In: Mathematics and Computers in Simulation (MATCOM) 81 (2011) 9, pp. 1785-1794

This study explores a new fourth-order target-tracking α–β–γ–δ filter using an evolutionary programming (EP) for …

Persistent link: https://www.econbiz.de/10011050240