A novel variant of social spider optimization using single centroid representation and enhanced mating for data clustering by Ravichandran Thalamala, Janet Barnabas, A.V. Reddy

“…The introduction of nature-inspired algorithms has led to new branches of study such as neural networks, swarm intelligence, evolutionary computation, and artificial immune systems. Particle swarm optimization (PSO), social spider optimization (SSO), and other nature-inspired algorithms have found some success in solving clustering problems but they may converge to local optima due to the lack of balance between exploration and exploitation. …”
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Is NSGA-II Ready for Large-Scale Multi-Objective Optimization? by Antonio J. Nebro, Jesús Galeano-Brajones, Francisco Luna, Carlos A. Coello Coello

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Multi-Objective Economic Scheduling of a Shipboard Microgrid Based on Self-Adaptive Collective Intelligence DE Algorithm by Jinhong Feng, Jundong Zhang, Chuan Wang, Ruizheng Jiang, Mingyi Xu

“…Then, we have evaluated the performances of the proposed SaCIDE-r approach by studying some numerical optimization problems of Congress on Evolutionary Computation (CEC) 2013 with D = 30, compared with seven stateof-the-art DE algorithms. …”
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Enhancing performance of particle swarm optimization through an algorithmic link with genetic algorithms by Deb, Kalyanmoy, Padhye, Nikhil

“…In addition to achieving performance gains, such an exercise shall deepen the understanding and scope of various operators from different paradigms in Evolutionary Computation (EC) and other optimization methods.…”
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21A.350J / SP.484J / STS.086J / WGS.484J The Anthropology of Computing, Fall 2004 by Helmreich, Stefan

“…We explore early computation theory and capitalist manufacturing; cybernetics and WWII operations research; artificial intelligence and gendered subjectivity; the creation and commodification of the personal computer; the hacking aesthetic; non-Western histories of computing; the growth of the Internet as a military, academic, and commercial project; the politics of identity in cyberspace; and the emergence of "evolutionary" computation.…”
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Evolving optimal and diversified military operational plans for computational red teaming by Zeng, Fanchao, Decraene, James, Low, Malcolm Yoke Hean, Zhou, Suiping, Cai, Wentong

“…In CRT, agent-based simulation models of military scenarios are automatically analyzed and modeled using evolutionary computation techniques. The CRT optimization process aims at identifying simulation models which exhibit emergent system behaviors of interest, e.g., when the adversary (called “Red”) breaks the defensive (“Blue”) strategies. …”
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Optimization of portfolios with and without constraints using evolutionary algorithms by Siddhant Gupta.

“…Usually grouped under the term evolutionary algorithms or evolutionary computation, we find the domains of genetic algorithms, evolution strategies, evolutionary programming, and genetic programming. …”
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A tree-structured covalent-bond-driven molecular memetic algorithm for optimization of ring-deficient molecules by Ellabaan, Mostafa Mostafa Hashim, Handoko, Stephanus Daniel, Ong, Yew Soon, Kwoh, Chee Keong, Bahnassy, S. A., Elassawy, F. M., Man, H. Y.

“…With enormous success in both science and engineering, the recent advances in evolutionary computation—particularly memetic computing—is gaining increasing attention in the molecular optimization community. …”
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Bio-inspired for Features Optimization and Malware Detection by Razak, Mohd Faizal Ab, Anuar, Nor Badrul, Othman, Fazidah, Firdaus, Ahmad, Afifi, Firdaus, Salleh, Rosli

“…The study compares the bio-inspired algorithm [particle swarm optimization (PSO)] and the evolutionary computation with information gain to find the best features optimization in selecting features. …”

Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy by Al-Dabbagh, Rawaa Dawoud, Neri, Ferrante, Idris, Norisma, Baba, Mohd Sapiyan

Development of bacteria foraging optimization algorithm for cell formation in cellular manufacturing system considering cell load variations by Nouri, Hossein, Tang, Sai Hong

“…The bacteria foraging optimization (BFO) algorithm is a modern evolutionary computation technique derived from the social foraging behavior of Escherichia coli bacteria. …”
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Computational intelligence method for optimal rotary design system by P.Saminathan, Kantan

“…The core ideas behind using computation, evolutionary computation and fuzzy logic techniques are presented, along with a selection of specific real-world applications. …”
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Differential evolution for neural networks learning enhancement by Ismail Wdaa, Abdul Sttar

“…Evolutionary computation is the name given to a collection of algorithms based on the evolution of a population toward a solution of a certain problem. …”
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Opposition- based simulated kalman filters and their application in system identification by Kamil Zakwan, Mohd Azmi

“…Experimental results over the IEEE Congress on Evolutionary Computation (CEC) 2014 benchmark functions indicate that Opposition-based Simulated Kalman Filter (OBSKF) has made some improvement towards exploration capability of SKF, while the Current Optimum Opposition-based Simulated Kalman Filter (COOBSKF) improved the exploration capability of SKF significantly. …”
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A novel chaotic transient search optimization algorithm for global optimization, real-world engineering problems and feature selection by Osman Altay, Elif Varol Altay

“…The performance of Chaotic Transient Search Algorithm (CTSO) in global optimization was investigated using the IEEE Congress on Evolutionary Computation (CEC)’17 benchmarking functions. Its performance in real-world engineering problems was investigated for speed reducer, tension compression spring, welded beam design, pressure vessel, and three-bar truss design problems. …”
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Optimal design of a foot prosthesis insole with composite materials applying metaheuristic algorithms by Derlis Hernández-Lara, Ricardo Gustavo Rodríguez-Cañizo, Emmanuel Alejandro Merchán-Cruz, Álvaro Marcos Santiago-Miguel, Emmanuel Tonatihu Juárez-Velázquez, Carlos Alfonso Trejo-Villanueva

“…Given the complexity of designing with these materials, posing the problem of designing an insole for Latin American users made of carbon fibre for lower limb prostheses as an optimisation problem, and solving it using metaheuristic techniques and evolutionary computation, will improve the process by generating functional solutions that are feasible to manufacture and in less time than traditional design methods. …”
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Non-Linear Regression Models with Vibration Amplitude Optimization Algorithms in a Microturbine by Omar Rodríguez-Abreo, Juvenal Rodríguez-Reséndiz, L. A. Montoya-Santiyanes, José Manuel Álvarez-Alvarado

“…Therefore, artificial intelligence is an option for performing this tuning. Within evolutionary computation, there are many optimization and tuning algorithms, the best known being genetic algorithms, but they contain many specific parameters. …”
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A New Approach to Group Multi-Objective Optimization under Imperfect Information and Its Application to Project Portfolio Optimization by Eduardo Fernández, Nelson Rangel-Valdez, Laura Cruz-Reyes, Claudia Gomez-Santillan

“…This is illustrated by solving a real size group many-objective project portfolio optimization problem using evolutionary computation tools.…”
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Fuel-cell parameter estimation based on improved gorilla troops technique by Abdullah Shaheen, Ragab El-Sehiemy, Attia El-Fergany, Ahmed Ginidi

“…Also, a comparative assessment of the developed IGTT and the original GTT are tested to ten unconstrained benchmark functions following to the Congress on Evolutionary Computation (CEC) 2017. The proposed IGTT outperforms the standard GTT, grey wolf algorithm (GWA) and Particle swarm optimizer (PSO) in 92.5%, 87.5% and 92.5% of the statistical indices. …”
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Non-Dominated Sorting Manta Ray Foraging Optimization for Multi-Objective Optimal Power Flow with Wind/Solar/Small- Hydro Energy Sources by Fatima Daqaq, Salah Kamel, Mohammed Ouassaid, Rachid Ellaia, Ahmed M. Agwa

“…To judge the NSMRFO performances, a bunch of test functions are carried out including classical unconstrained and constrained functions, a recent benchmark suite known as the completions on evolutionary computation 2020 (CEC2020) that contains twenty-four multimodal optimization problems (MMOPs), some engineering design problems, and also the modified real-world issue known as IEEE 30-bus optimal power flow involving the wind/solar/small-hydro power generations. …”
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