Classification of adaptive memetic algorithms : a comparative study by Ong, Yew Soon, Lim, Meng-Hiot, Zhu, Ning, Wong, Kok Wai

“…Adaptation of parameters and operators represents one of the recent most important and promising areas of research in evolutionary computations; it is a form of designing self-configuring algorithms that acclimatize to suit the problem in hand. …”
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Metaheuristics algorithms to identify nonlinear Hammerstein model: A decade survey by Jui, Julakha Jahan, Mohd Ashraf, Ahmad, Muhammad Ikram, Mohd Rashid

“…The metaheuristics, especially swarm’s intelligence and evolutionary computing algorithms, have gained popularity within a short time over the past two decades. …”
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Reproduction operators in solving LABS problem using EMAS meta-heuristic with various local optimization techniques by Sylwia Biełaszek, Kamil Piętak, Marek Kisiel-Dorohinicki

“…ABSTRACTAgent-based evolutionary, computational systems have been proven to be an efficient concept for solving complex computational problems. …”
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A CNN based hybrid approach towards automatic image registration by Pattathal Vijayakumar Arun

“…In this paper, we investigate the possibility of an evolutionary computing based framework towards automatic image registration. …”
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Load area aggregation considering integration of electric vehicles to the system by Luis Fernando Rodríguez-García, Sandra Milena Pérez-Londoño, Juan José Mora-Flórez

“…Additionally, considering that power system analysis becomes complex when the number of buses increase, this paper presents a methodology for aggregation of load areas that use a measurement-based load modeling approach based on an evolutionary computational technique and a classical reduction method. …”
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Use of Evolutionary Polynomial Regression (EPR) for Prediction of Total Sediment Load of Malaysian Rivers by Nadiatul Adilah, Ahmad Abdul Ghani, Mohamed, A. Shahin, Hamid, R. Nikraz

“…EPR is a data-driven modelling hybrid technique, based on evolutionary computing, that has been recently used successfully in solving many problems in civil engineering. …”
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Evolution of Collective Behaviour in an Artificial World Using Linguistic Fuzzy Rule-Based Systems. by Jure Demšar, Iztok Lebar Bajec

“…Here the interest goes into which pressures led to the evolution of such behaviour, and evolutionary computational models have already been used to test various biological hypotheses. …”
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Unsupervised Feature Selection and Clustering Optimization Based on Improved Differential Evolution by Tao Li, Hongbin Dong

“…In order to address this problem, the unsupervised feature selection and clustering algorithm based on the evolutionary computing framework is proposed in this paper. …”
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A Bio-Inspired Reaction Against Cyberattacks: AIS-Powered Optimal Countermeasures Selection by Pantaleone Nespoli, Felix Gomez Marmol, Jorge Maestre Vidal

“…With the motivation to contribute to develop ing faster and more effective response capabilities against them, the paper at hand introduces a novel cybersecurity reaction methodology based on Artificial Immune Systems (AIS), for which the evolutionary computing paradigm has been adopted. By leveraging the outstanding properties of these bio-inspired techniques, the selected countermeasures to defeat cyberthreats through cloning and mutation phases in an effort to improve the quality of the solution from a quantitative perspective, being able to adjust the risk to which the assets of the protected system are exposed. …”
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Adaptive Rule-Base Influence Function Mechanism for Cultural Algorithm by Vahid Seydi Ghomsheh, Mohamad Teshnehlab, Mehdi Aliyari Shoordeli

“…Intelligence optimizations which are generally classified as, evolutionary computations techniques like Genetic Algorithm, evolutionary strategy, and evolutionary programming, and swarm intelligence algorithms like particle swarm intelligence algorithm and ant colony optimization, etc are powerful tools for solving optimization problems…”
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A Robust Optimization Approach for Optimal Power Flow Solutions Using Rao Algorithms by Saket Gupta, Narendra Kumar, Laxmi Srivastava, Hasmat Malik, Amjad Anvari-Moghaddam, Fausto Pedro García Márquez

“…The OPF results of Rao algorithms and the results provided by other swarm intelligence (SI)/evolutionary computing (EC)-based algorithms published in recent literature have been compared. …”
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Chaotic golden ratio guided local search for big data optimization by Havva Gül Koçer, Bahaeddin Türkoğlu, Sait Ali Uymaz

“…The experimental studies carried out with the electroencephalographic signal decomposition-based optimization problems, named as Big Data optimization problem (Big-Opt), introduced at the Congress on Evolutionary Computing Big Data Competition (CEC’2015). Experimental results have shown that the local search method developed using chaotic maps has an effect that increases the performance of the algorithm.…”
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Training radial basis function networks for wind speed prediction using PSO enhanced differential search optimizer. by Hannah Jessie Rani R, Aruldoss Albert Victoire T

“…Training algorithms based on evolutionary computations are becoming popular due to their robust nature in overcoming the drawbacks of the traditional algorithms. …”
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PID controller adjustment for MA-LFC by using imperialist competitive algorithm by Soheilirad, Mohammadsoroush, Farzan, Payam, Othman, Mohammad Lutfi, Karami, K., Hojabri, Mojgan

“…In this paper a new evolutionary computing method based on Imperialist Competitive Algorithm (ICA) is used for tuning the elements of a PID controller which is applied in a Multi Area Load Frequency Control System (MA-LFC). …”
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Data analysis by combining the modified k-means and imperialist competitive algorithm by Babrdel Bonab, Mohammad, Mohd. Hashim, Siti Zaiton, Bazin, Nor Erne Nazira

“…The Imperialist Competitive Algorithm (ICA) is a method in the field of evolutionary computations, trying to find the optimum solution for diverse optimization problems. …”
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Virtual Gene Concept and a Corresponding Pragmatic Research Program in Genetical Data Science by Łukasz Huminiecki

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A New Evolutionary Multiobjective Model for Traveling Salesman Problem by Xuejiao Chen, Yuxin Liu, Xianghua Li, Zhen Wang, Songxin Wang, Chao Gao

“…In order to overcome these problems, this paper proposes an improved method for GAs based on a novel evolutionary computational model, named the Physarum-inspired computational model (PCM). …”
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Identifying movement of object in multiple images via particle swarm optimization algorithm / Mohd Haidhar Iqbal Hassan by Iqbal Hassan, Mohd Haidhar

“…This project used one of algorithm from category Evolutionary Computing (EC) and that algorithm is Particle Swarm Optimization (PSO). …”
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Material Design Of Iii-Nitride Ternary Via First Principles Calculations by Chang, Robin Yee Hui

“…Herein, by applying ab initio crossbreed evolutionary computations, extensive search for the thermodynamically and practically stable composites of AlN-InN was performed. …”
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A Two-Stage Hypervolume-Based Evolutionary Algorithm for Many-Objective Optimization by Chengxin Wen, Hongbin Ma

“…Many-objective optimization is a critical research topic in the evolutionary computing community. Many algorithms have been proposed to tackle this problem, with evolutionary algorithms based on the hypervolume being among the most effective ones. …”
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