Weight pattern evaluation for multiobjective hydrothermal generation scheduling using hybrid search technique
This paper presents best weight pattern evaluation approach to solve short-term multi-
objective hydrothermal generation scheduling (HTGS) which determines the allocation of …
objective hydrothermal generation scheduling (HTGS) which determines the allocation of …
Epsilon-multiobjective particle swarm optimization-based tuning of sensitivity functions for polynomial control design
R Madiouni, S Bouallègue… - Transactions of the …, 2019 - journals.sagepub.com
In this paper, a novel systematic method for the polynomial controllers (denoted as RST
controllers) design and tuning is proposed and successfully implemented based on an …
controllers) design and tuning is proposed and successfully implemented based on an …
Land-use planning via enhanced multi-objective evolutionary algorithms: optimizing the land value of major Greenfield initiatives
SM Karakostas - Journal of Land Use Science, 2016 - Taylor & Francis
The successful implementation of major development initiatives relies on the sound
allocation of land uses against critical design criteria and constraints. The discovery of …
allocation of land uses against critical design criteria and constraints. The discovery of …
Bridging the gap between multi-objective optimization and spatial planning: a new post-processing methodology capturing the optimum allocation of land uses against …
SM Karakostas - Transportation Planning and Technology, 2017 - Taylor & Francis
The optimal allocation of multiple land uses constitutes a complex multi-objective
optimization problem with unknown feasible objective space and optimal planning …
optimization problem with unknown feasible objective space and optimal planning …
An Empirical Study on the Use of the S-energy Performance Indicator in Mating Restriction Schemes for Multi-Objective Optimizers
Mating restrictions have been used to improve the performance of Multi-Objective
Evolutionary Algorithms (MOEAs) by altering the way in which parents are selected in the …
Evolutionary Algorithms (MOEAs) by altering the way in which parents are selected in the …
Global search PSO to analyze the values of cultural and creative industries
ST Wang, MH Li - The Open Cybernetics & Systemics Journal, 2017 - benthamopen.com
Background: Cultural and creative commodities and services are not evaluated by the
service provider, but by the users. According to the preliminary interviews, it is incorrect to …
service provider, but by the users. According to the preliminary interviews, it is incorrect to …
[PDF][PDF] Carlos Artemio Coello Coello February 27th, 2021
M Books - delta.cs.cinvestav.mx
DATE OF BIRTH: October 18, 1967 PLACE OF BIRTH: Tonalá, Chiapas, México PHONE:+
52 (55) 5747 3800 x 6564 EMAIL: ccoello@ cs. cinvestav. mx WORLD WIDE WEB …
52 (55) 5747 3800 x 6564 EMAIL: ccoello@ cs. cinvestav. mx WORLD WIDE WEB …
[PDF][PDF] Autonomic Learning Algorithm to Predict Stock Price via Metaheuristics-Based Optimization
S Khaleghi, J Soroor - academia.edu
Investment in the stocks exchange is one of the most common attitudes in the capital market.
If one has the knowledge and the experience, he has the chance to make a lot of profits from …
If one has the knowledge and the experience, he has the chance to make a lot of profits from …
[PDF][PDF] Datos personales
II Nivel - 2021 - juntadegobierno.unam.mx
6.-Piras G, El Kharroubi A, Kozlov S, Escalante-Alcalde D, Hernandez L, Copeland NG,
Gilbert DJ, Jenkins NA and Stewart CL.(2000) Zac1/Lot1, a potential tumor supressor and …
Gilbert DJ, Jenkins NA and Stewart CL.(2000) Zac1/Lot1, a potential tumor supressor and …
[ЦИТИРОВАНИЕ][C] Discrete particle swarm optimization for combinatorial problems with innovative applications.
PP Ayokunle - 2016