A Comprehensive Survey on the Recent Variants and Applications of Membrane-Inspired Evolutionary Algorithms

2022 ◽  
Author(s):  
Bisan Alsalibi ◽  
Seyedali Mirjalili ◽  
Laith Abualigah ◽  
Rafaa Ismael yahya ◽  
Amir H. Gandomi
Keyword(s):  
Evolutionary Algorithms ◽  
Comprehensive Survey

scholarly journals Parallel Multi-Objective Evolutionary Algorithms: A Comprehensive Survey

2021 ◽  
pp. 100960
Author(s):  
Jesús Guillermo Falcón-Cardona ◽  
Raquel Hernández Gómez ◽  
Carlos A. Coello Coello ◽  
Ma. Guadalupe Castillo Tapia
Keyword(s):  
Evolutionary Algorithms ◽  
Multi Objective ◽  
Comprehensive Survey

Comprehensive Survey of the Hybrid Evolutionary Algorithms

2013 ◽  
Vol 4 (2) ◽  
pp. 1-19 ◽  
Author(s):  
Wali Khan Mashwani
Keyword(s):  
Evolutionary Algorithms ◽  
Pareto Front ◽  
Optimization Problems ◽  
Mathematical Formulation ◽  
Multiobjective Evolutionary Algorithms ◽  
Nsga Ii ◽  
Pareto Optimal Set ◽  
Multiobjective Optimization Problems ◽  
Comprehensive Survey ◽  
Optimal Set

Multiobjective evolutionary algorithm based on decomposition (MOEA/D) and an improved non-dominating sorting multiobjective genetic algorithm (NSGA-II) is two well known multiobjective evolutionary algorithms (MOEAs) in the field of evolutionary computation. This paper mainly reviews their hybrid versions and some other algorithms which are developed for solving multiobjective optimization problems (MOPs. The mathematical formulation of a MOP and some basic definitions for tackling MOPs, including Pareto optimality, Pareto optimal set (PS), Pareto front (PF) are provided in Section 1. Section 2 presents a brief introduction to hybrid MOEAs. The authors present literature review in subsections. Subsection 2.1 provides memetic multiobjective evolutionary algorithms. Subsection 2.2 presents the hybrid versions of well-known Pareto dominance based MOEAs. Subsection 2.4 summarizes some enhanced Versions of MOEA/D paradigm. Subsection 2.5 reviews some multimethod search approaches dealing optimization problems.

scholarly journals Dragonfly Algorithm and Its Hybrids: A Survey on Performance, Objectives and Applications

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7542
Author(s):  
Bibi Aamirah Shafaa Emambocus ◽  
Muhammed Basheer Jasser ◽  
Aida Mustapha ◽  
Angela Amphawan
Keyword(s):  
Evolutionary Algorithms ◽  
Swarm Intelligence ◽  
Optimization Problems ◽  
Low Cost ◽  
Dragonfly Algorithm ◽  
Robust Solutions ◽  
Intelligence Algorithm ◽  
Comprehensive Survey ◽  
Swarm Intelligence Algorithm

Swarm intelligence is a discipline which makes use of a number of agents for solving optimization problems by producing low cost, fast and robust solutions. The dragonfly algorithm (DA), a recently proposed swarm intelligence algorithm, is inspired by the dynamic and static swarming behaviors of dragonflies, and it has been found to have a higher performance in comparison to other swarm intelligence and evolutionary algorithms in numerous applications. There are only a few surveys about the dragonfly algorithm, and we have found that they are limited in certain aspects. Hence, in this paper, we present a more comprehensive survey about DA, its applications in various domains, and its performance as compared to other swarm intelligence algorithms. We also analyze the hybrids of DA, the methods they employ to enhance the original DA, their performance as compared to the original DA, and their limitations. Moreover, we categorize the hybrids of DA according to the type of problem that they have been applied to, their objectives, and the methods that they utilize.

Comprehensive Survey of the Hybrid Evolutionary Algorithms

2015 ◽  
pp. 322-343
Author(s):  
Wali Khan Mashwani
Keyword(s):  
Evolutionary Algorithms ◽  
Optimization Problems ◽  
Mathematical Formulation ◽  
Multiobjective Evolutionary Algorithms ◽  
Nsga Ii ◽  
Pareto Optimal Set ◽  
Multiobjective Optimization Problems ◽  
Comprehensive Survey ◽  
Hybrid Evolutionary Algorithms ◽  
Optimal Set

Multiobjective evolutionary algorithm based on decomposition (MOEA/D) and an improved non-dominating sorting multiobjective genetic algorithm (NSGA-II) are two well known multiobjective evolutionary algorithms (MOEAs) in the field of evolutionary computation. This paper mainly reviews their hybrid versions and some other algorithms which are developed for solving multiobjective optimization problems (MOPs. The mathematical formulation of a MOP and some basic definitions for tackling MOPs, including Pareto optimality, Pareto optimal set (PS), Pareto front (PF) are provided in Section 1. Section 2 presents a brief introduction to hybrid MOEAs. The authors present literature review in subsections. Subsection 2.1 provides memetic multiobjective evolutionary algorithms. Subsection 2.2 presents the hybrid versions of well-known Pareto dominance based MOEAs. Subsection 2.4 summarizes some enhanced Versions of MOEA/D paradigm. Subsection 2.5 reviews some multimethod search approaches dealing optimization problems.

scholarly journals AI Methods in Algorithmic Composition: A Comprehensive Survey

2013 ◽  
Vol 48 ◽  
pp. 513-582 ◽  
Author(s):  
J.D. Fernandez ◽  
F. Vico
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Evolutionary Algorithms ◽  
Constraint Programming ◽  
Music Composition ◽  
Probabilistic Methods ◽  
Computational Techniques ◽  
Algorithmic Composition ◽  
Rule Based ◽  
Comprehensive Survey

Algorithmic composition is the partial or total automation of the process of music composition by using computers. Since the 1950s, different computational techniques related to Artificial Intelligence have been used for algorithmic composition, including grammatical representations, probabilistic methods, neural networks, symbolic rule-based systems, constraint programming and evolutionary algorithms. This survey aims to be a comprehensive account of research on algorithmic composition, presenting a thorough view of the field for researchers in Artificial Intelligence.

Doxastic Naturalism and Hume's Voice in theDialogues

2016 ◽  
Vol 14 (3) ◽  
pp. 253-274 ◽  
Author(s):  
C. M. Lorkowski
Keyword(s):  
Comprehensive Survey ◽  
Naturalistic Interpretation ◽  
New Evidence

I argue that acknowledging Hume as a doxastic naturalist about belief in a deity allows an elegant, holistic reading of his Dialogues. It supports a reading in which Hume's spokesperson is Philo throughout, and enlightens many of the interpretive difficulties of the work. In arguing this, I perform a comprehensive survey of evidence for and against Philo as Hume's voice, bringing new evidence to bear against the interpretation of Hume as Cleanthes and against the amalgamation view while correcting several standard mistakes. I ultimately isolate the interpretation of Philo's Reversal at the end of the Dialogues as of paramount importance, and show how my naturalistic interpretation makes this, and other notoriously difficult passages, unproblematic.

Approaching Mull? ?adr? as Scriptural Exegete: A Survey of Scholarship on His Quranic Works

2010 ◽  
Vol 4 (1-2) ◽  
pp. 75-96
Author(s):  
Mohammed Rustom
Keyword(s):  
Intimate Relationship ◽  
Diverse Range ◽  
Scholarly Literature ◽  
Religious Worldview ◽  
Comprehensive Survey ◽  
Methodological Problems

This article offers the first comprehensive survey of scholarly literature devoted to the Qur??nic works of the famous Muslim philosopher, Mull? ?adr? (d. 1050/1640). While taking account of the merits and shortcomings of studies on ?adr?’s Qur??nic writings, we will also be concerned with highlighting some of the methodological problems raised by the diverse range of approaches adopted in these studies. Chief amongst them is the tendency to pit ?adr? the philosopher against ?adr? the scriptural exegete. Such a dichotomy is not entirely helpful, both with respect to painting a clearer picture of ?adr?’s religious worldview, and to addressing broader questions pertaining to the intimate relationship shared between the “act” of philosophy and the “act” of reading scripture.

The Solar Lunar Orientations of the Orkney-Cromarty and Clava Cairns

2016 ◽  
Vol 2 (1) ◽  
pp. 45-66 ◽  
Author(s):  
Douglas Scott
Keyword(s):  
Comprehensive Survey

This paper outlines the background to earlier studies of the orientation of the OrkneyCromarty (OC) passage cairns and the Clava passage and ring cairns, and details the outcome of a new and comprehensive survey carried out by the author over recent years. The paper sets out evidence of orientations in both sets of cairns to the eight divisions of the year and tests whether the alignments were observable. The results were compared to see if the Clava cairns had been influenced by the older OC cairns. Other solar and/or lunar aligned monuments are also briefly examined, as is relevant folklore.

Ultrafast laser processing of ceramics: Comprehensive survey of laser parameters

2021 ◽  
Vol 33 (1) ◽  
pp. 012009
Author(s):  
Aiko Narazaki ◽  
Hideyuki Takada ◽  
Dai Yoshitomi ◽  
Kenji Torizuka ◽  
Yohei Kobayashi
Keyword(s):  
Laser Processing ◽  
Ultrafast Laser ◽  
Laser Parameters ◽  
Comprehensive Survey

Opponent Center-Surround Contrast: Colour to Grey Conversion

2020 ◽  
Vol 2020 (1) ◽  
pp. 105-108
Author(s):  
Ali Alsam
Keyword(s):  
Evolutionary Algorithms ◽  
Three Dimensional ◽  
The State ◽  
Colour Space ◽  
Vision Science ◽  
State Of Art ◽  
Over Time

Vision is the science that informs us about the biological and evolutionary algorithms that our eyes, opticnerves and brains have chosen over time to see. This article is an attempt to solve the problem of colour to grey conversion, by borrowing ideas from vision science. We introduce an algorithm that measures contrast along the opponent colour directions and use the results to combine a three dimensional colour space into a grey. The results indicate that the proposed algorithm competes with the state of art algorithms.

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