Search Results - "Evolutionary multi-objective optimization algorithms"

Evolutionary multi-objective optimization algorithms for fuzzy portfolio selection by Saborido, Rubén, Ruiz, Ana B., Bermúdez, José D., Vercher, Enriqueta, Luque, Mariano

“…[Display omitted] •We consider a constrained three-objective optimization portfolio selection problem.•We solve the problem by means of evolutionary…”
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A Survey on Search Strategy of Evolutionary Multi-Objective Optimization Algorithms by Wang, Zitong, Pei, Yan, Li, Jianqiang

“…The multi-objective optimization problem is difficult to solve with conventional optimization methods and algorithms because there are conflicts among several…”
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Comparison of evolutionary multi objective optimization algorithms in optimum design of water distribution network by Monsef, H., Naghashzadegan, M., Jamali, A., Farmani, R.

“…In this paper, the application of three well-known multi-objective optimization algorithms to water distribution network (WDN) optimum design has been…”
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Optimal Technical Indicator Based Trading Strategies Using Evolutionary Multi Objective Optimization Algorithms: Optimal Technical Indicator Based Trading Strategies by Vivek, Yelleti, Prasad, P. Shanmukh Kali, Madhav, Vadlamani, Lal, Ramanuj, Ravi, Vadlamani

“…This paper proposes a bi-objective evolutionary approach to perform technical indicator-based stock trading. The objective is to find the optimal combinations…”
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Optimal Technical Indicator Based Trading Strategies Using Evolutionary Multi Objective Optimization Algorithms by Vivek, Yelleti, Prasad, P. Shanmukh Kali, Madhav, Vadlamani, Lal, Ramanuj, Ravi, Vadlamani

“…This paper proposes a bi-objective evolutionary approach to perform technical indicator-based stock trading. The objective is to find the optimal combinations…”
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Reference point based evolutionary multi-objective optimization algorithms with convergence properties using KKTPM and ASF metrics by Abouhawwash, Mohamed, Deb, Kalyanmoy

“…In a preference-based multi-objective optimization task, the goal is to find a subset of the Pareto-optimal set close to a supplied set of aspiration points…”
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Dynamic performance evaluation of evolutionary multi-objective optimization algorithms for gait cycle optimization of a 25-DOFs NAO humanoid robot by Gupta, Pushpendra, Pratihar, Dilip Kumar, Deb, Kalyanmoy

“…Researchers are increasingly using optimization methods to achieve optimal dynamic performance of humanoid robots, often involving multiple conflicting…”
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A Comparative Study on Evolutionary Multi-objective Optimization Algorithms Estimating Surface Duct by Liao, Qixiang, Sheng, Zheng, Shi, Hanqing, Zhang, Lei, Zhou, Lesong, Ge, Wei, Long, Zhiyong

“…The problem of atmospheric duct inversion is usually solved as a single objective optimization problem. Based on ground-based Global Positioning System (GPS)…”
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Editorial: Evolutionary multi-objective optimization algorithms in microgrid power dispatching by Ma, Lianbo, Gao, Shangce, Li, Miqing, Pei, Yan, Cheng, Shi

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Optimal prediction intervals for macroeconomic time series using chaos and evolutionary multi-objective optimization algorithms by Sarveswararao, Vangala, Ravi, Vadlamani, Huq, Shaik Tanveer Ul

“…In a first-of-its-kind study, this paper formulates the problem of estimating the prediction intervals (PIs) in a macroeconomic time series as a bi-objective…”
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Using low-power platforms for Evolutionary Multi-Objective Optimization algorithms by Moreno, J. J., Ortega, G., Filatovas, E., Martínez, J. A., Garzón, Ester M.

“…Nowadays, the application of Evolutionary Multi-Objective Optimization (EMO) algorithms in real-time systems receives considerable interest. In this context,…”
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Late parallelization and feedback approaches for distributed computation of evolutionary multi-objective optimization algorithms by Altinoz, O. Tolga, Deb, Kalyanmoy

“…Distributing of the multi-objective evolutionary algorithms into various computational devices in a parallel fashion is a method for speeding up the execution…”
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An IGD+ Indicator-Based Metric for Interactive Evolutionary Multi-Objective Optimization Algorithms by Tian, Hao, Li, Fei, Zhou, Baiyu, Yang, Yujie, Huang, Xun

“…Interactive evolutionary multi-objective optimization algorithms have received widespread research…”
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Interactive Evolutionary Multi-Objective Optimization Algorithms: Development, Improvements, Benchmarking and Analysis of Performance by Shavarani, Seyed Mahdi

“…Interactive multi-objective optimization algorithms exploit the preferences of a human Decision Maker (DM), elicited iteratively during the optimization…”
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An Inverse Model-based Solution Generation Method for Evolutionary Multi-objective Optimization Algorithms by Shu, Tianye, Ishibuchi, Hisao, Pang, Lie Meng

“… Recently, the inverse model has been used in some evolutionary multi-objective optimization algorithms (EMOAs…”
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Design of particle-reinforced polyurethane mould materials for soft tooling process using evolutionary multi-objective optimization algorithms by Nandi, Arup Kumar, Datta, Shubhabrata, Deb, Kalyanmoy

“…Polyurethane is used for making mould in soft tooling (ST) process for producing wax/plastic components. These wax components are later used as pattern in…”
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Comparative study of evolutionary multi-objective optimization algorithms for a non-linear Greenhouse climate control problem by Ghoreishi, Seyyedeh Newsha, Sorensen, Jan Corfixen, Jorgensen, Bo Norregaard

“…Non-trivial real world decision-making processes usually involve multiple parties having potentially conflicting interests over a set of issues…”
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Comparison of Evolutionary Multi-Objective Optimization Algorithms on the Tuning of PI Controllers for Electric Drives by Dos Santos, Guilherme F., Da Silva, Wander G., Pickert, Volker, De Paula, Geyverson T.

“…This paper presents a comparison of the two most used evolutionary algorithms for multi-objective problems, Strength Pareto Evolutionary Algorithm 2 (SPEA2)…”
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Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails by Hui Li, Landa-silva, Dario, Gandibleux, Xavier

“…Recently, the research on quantum-inspired evolutionary algorithms (QEA) has attracted some attention in the area of evolutionary computation. QEA use a…”
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Comparison of Evolutionary Multi-Objective Optimization Algorithms for the utilization of fairness in network control by Koppen, M, Verschae, R, Yoshida, K, Tsuru, M

“…We use design principles of evolutionary multi-objective optimization algorithms to define algorithms capable of approximating maximum sets of relations in general…”
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