scholarly journals A comparative review between Genetic Algorithm use in composite optimisation and the state-of-the-art in evolutionary computation

2020 ◽  
Vol 233 ◽  
pp. 111739 ◽  
Author(s):  
ZhenZhou Wang ◽  
Adam Sobey
Keyword(s):  
Genetic Algorithm ◽  
Evolutionary Computation ◽  
State Of The Art ◽  
The State ◽  
Comparative Review ◽  
Composite Optimisation

scholarly journals Assessing a Multi-Objective Genetic Algorithm with a Simulated Environment for Energy-Saving of Air Conditioning Systems with User Preferences

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 344
Author(s):  
Alejandro Humberto García Ruiz ◽  
Salvador Ibarra Martínez ◽  
José Antonio Castán Rocha ◽  
Jesús David Terán Villanueva ◽  
Julio Laria Menchaca ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Energy Consumption ◽  
Energy Saving ◽  
User Satisfaction ◽  
Air Conditioning ◽  
State Of The Art ◽  
User Preferences ◽  
The State ◽  
Nsga Ii ◽  
Air Conditioning System

Electricity is one of the most important resources for the growth and sustainability of the population. This paper assesses the energy consumption and user satisfaction of a simulated air conditioning system controlled with two different optimization algorithms. The algorithms are a genetic algorithm (GA), implemented from the state of the art, and a non-dominated sorting genetic algorithm II (NSGA II) proposed in this paper; these algorithms control an air conditioning system considering user preferences. It is worth noting that we made several modifications to the objective function’s definition to make it more robust. The energy-saving optimization is essential to reduce CO2 emissions and economic costs; on the other hand, it is desirable for the user to feel comfortable, yet it will entail a higher energy consumption. Thus, we integrate user preferences with energy-saving on a single weighted function and a Pareto bi-objective problem to increase user satisfaction and decrease electrical energy consumption. To assess the experimentation, we constructed a simulator by training a backpropagation neural network with real data from a laboratory’s air conditioning system. According to the results, we conclude that NSGA II provides better results than the state of the art (GA) regarding user preferences and energy-saving.

A Note on Bound Constraints Handling for the IEEE CEC’05 Benchmark Function Suite

2014 ◽  
Vol 22 (2) ◽  
pp. 351-359 ◽  
Author(s):  
Tianjun Liao ◽  
Daniel Molina ◽  
Marco A. Montes de Oca ◽  
Thomas Stützle
Keyword(s):  
Evolutionary Computation ◽  
Parameter Optimization ◽  
State Of The Art ◽  
Continuous Optimization ◽  
The State ◽  
Real Parameter ◽  
Special Session ◽  
Benchmark Function ◽  
Bound Constraints ◽  
Constraints Handling

The benchmark functions and some of the algorithms proposed for the special session on real parameter optimization of the 2005 IEEE Congress on Evolutionary Computation (CEC’05) have played and still play an important role in the assessment of the state of the art in continuous optimization. In this article, we show that if bound constraints are not enforced for the final reported solutions, state-of-the-art algorithms produce infeasible best candidate solutions for the majority of functions of the IEEE CEC’05 benchmark function suite. This occurs even though the optima of the CEC’05 functions are within the specified bounds. This phenomenon has important implications on algorithm comparisons, and therefore on algorithm designs. This article's goal is to draw the attention of the community to the fact that some authors might have drawn wrong conclusions from experiments using the CEC’05 problems.

Evolutionary computation and structural design: A survey of the state-of-the-art

2005 ◽  
Vol 83 (23-24) ◽  
pp. 1943-1978 ◽  
Author(s):  
Rafal Kicinger ◽  
Tomasz Arciszewski ◽  
Kenneth De Jong
Keyword(s):  
Evolutionary Computation ◽  
Structural Design ◽  
State Of The Art ◽  
The State

Practical Picture Processing

1974 ◽  
Vol 32 ◽  
pp. 338-339
Author(s):  
T. A. Welton
Keyword(s):  
Radiation Damage ◽  
Coherence Length ◽  
Spatial Information ◽  
State Of The Art ◽  
Coherent Radiation ◽  
The State ◽  
Energy Spread ◽  
Electron Micrograph ◽  
Picture Processing ◽  
Molecular Skeleton

Various authors have emphasized the spatial information resident in an electron micrograph taken with adequately coherent radiation. In view of the completion of at least one such instrument, this opportunity is taken to summarize the state of the art of processing such micrographs. We use the usual symbols for the aberration coefficients, and supplement these with £ and 6 for the transverse coherence length and the fractional energy spread respectively. He also assume a weak, biologically interesting sample, with principal interest lying in the molecular skeleton remaining after obvious hydrogen loss and other radiation damage has occurred.

Hypothesis-Evidence Coordination: The State of the Art

2003 ◽  
Vol 48 (6) ◽  
pp. 826-829 ◽  
Author(s):  
Eric Amsel
Keyword(s):  
State Of The Art ◽  
The State

The State of the Art

1968 ◽  
Vol 13 (9) ◽  
pp. 479-480
Author(s):  
LEWIS PETRINOVICH
Keyword(s):  
State Of The Art ◽  
The State

Needs Assessment: The State of the Art

1984 ◽  
Vol 29 (5) ◽  
pp. 426-428
Author(s):  
Anthony R. D'Augelli
Keyword(s):  
Needs Assessment ◽  
State Of The Art ◽  
The State

Biofeedback: The State of the Art

1991 ◽  
Vol 36 (2) ◽  
pp. 140-140
Author(s):  
John A. Corson
Keyword(s):  
State Of The Art ◽  
The State
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