Výsledky vyhľadávania - "Optimization Problem"

Multiple Tasks for Multiple Objectives: A New Multiobjective Optimization Method via Multitask Optimization Autor Li, Jian-Yu, Zhan, Zhi-Hui, Li, Yun, Zhang, Jun

“…Handling conflicting objectives and finding multiple Pareto optimal solutions are two challenging issues in solving multiobjective optimization problems…”
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Gradient-based optimizer: A new metaheuristic optimization algorithm Autor Ahmadianfar, Iman, Bozorg-Haddad, Omid, Chu, Xuefeng

“…•The gradient-based optimizer (GBO) inspired by the gradient-based Newton’s search method.•The GBO uses two main operators: gradient search rule (GSR) and…”
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Multiobjective Evolution Strategy for Dynamic Multiobjective Optimization Autor Zhang, Kai, Shen, Chaonan, Liu, Xiaoming, Yen, Gary G.

“…This article presents a novel evolution strategy-based evolutionary algorithm, named DMOES, which can efficiently and effectively solve multiobjective…”
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Solving Nonlinear Equality Constrained Multiobjective Optimization Problems Using Neural Networks Autor Mestari, Mohammed, Benzirar, Mohammed, Saber, Nadia, Khouil, Meryem

“…This paper develops a neural network architecture and a new processing method for solving in real time, the nonlinear equality constrained multiobjective…”
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A novel clustering-based evolutionary algorithm with objective space decomposition for multi/many-objective optimization Autor Zheng, Wei, Tan, Yanyan, Yan, Zeyuan, Yang, Mingming

“…The framework of decomposing a multi-objective optimization problem (MOP) into some MOPs holds considerable promise. However, its advancement is constrained by…”
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Chaotic Krill Herd algorithm Autor Wang, Gai-Ge, Guo, Lihong, Gandomi, Amir H., Hao, Guo-Sheng, Wang, Heqi

“…Recently, Gandomi and Alavi proposed a meta-heuristic optimization algorithm, called Krill Herd (KH). This paper introduces the chaos theory into the KH…”
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A Dynamic Multiobjective Evolutionary Algorithm Based on Decision Variable Classification Autor Liang, Zhengping, Wu, Tiancheng, Ma, Xiaoliang, Zhu, Zexuan, Yang, Shengxiang

“…In recent years, dynamic multiobjective optimization problems (DMOPs) have drawn increasing interest. Many dynamic multiobjective evolutionary algorithms…”
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An inverse problem for Sturm-Liouville equations with a fixed node Autor Chu, Jifeng, Meng, Gang, Xie, Nana

“…In this paper, we study a kind of inverse nodal problems for the classical Sturm-Liouville problems. To be precise, we prove the sharp lower bounds for the…”
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A test-suite of non-convex constrained optimization problems from the real-world and some baseline results Autor Kumar, Abhishek, Wu, Guohua, Ali, Mostafa Z., Mallipeddi, Rammohan, Suganthan, Ponnuthurai Nagaratnam, Das, Swagatam

“…Real-world optimization problems have been comparatively difficult to solve due to the complex nature of the objective function with a substantial number of…”
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Optimal Task Allocation Algorithm Based on Queueing Theory for Future Internet Application in Mobile Edge Computing Platform Autor Katayama, Yukiko, Tachibana, Takuji

“…For 5G and future Internet, in this paper, we propose a task allocation method for future Internet application to reduce the total latency in a mobile edge…”
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A qualitative systematic review of metaheuristics applied to tension/compression spring design problem: Current situation, recommendations, and research direction Autor Tzanetos, Alexandros, Blondin, Maude

“…New metaheuristic algorithms have soared over the past ten years. A common practice in proposing a new algorithm is validating it on several benchmark…”
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Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications Autor Trojovský, Pavel, Dehghani, Mohammad

“…Optimization is an important and fundamental challenge to solve optimization problems in different scientific disciplines. In this paper, a new stochastic…”
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A neural network with strong interpretability for solving optimization problems Autor Fan, Jianhan, Liao, Yiming, Zou, Jianxiao, Liao, Kaiji, Fan, Shicai

“…Accurate and rapid solutions to optimization problems are crucial in scientific and engineering fields. To address diverse optimization challenges, this paper…”
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Visualization and Performance Metric in Many-Objective Optimization Autor Zhenan He, Yen, Gary G.

“…Visualization of population in a high-dimensional objective space throughout the evolution process presents an attractive feature that could be well exploited…”
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Genghis Khan shark optimizer: A novel nature-inspired algorithm for engineering optimization Autor Hu, Gang, Guo, Yuxuan, Wei, Guo, Abualigah, Laith

“…This study tenders a new nature-inspired metaheuristic algorithm (MA) based on the behavior of the Genghis Khan shark (GKS), called GKS optimizer (GKSO), which…”
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A review of optimal power flow studies applied to smart grids and microgrids Autor Abdi, Hamdi, Beigvand, Soheil Derafshi, Scala, Massimo La

“…The term smart grid refers to a modernization of the electrical network consisting in the integration of various technologies such as dispersed generation,…”
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Efficient solutions for vector optimization problem on an extended interval vector space and its application to portfolio optimization Autor Sahu, B.R.B., Bhurjee, A.K., Kumar, P.

“…In this paper, a generalized interval vector space is investigated and defined as an ordered relation in the form of a bijective linear transformation of its…”
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A time-varying transfer function for balancing the exploration and exploitation ability of a binary PSO Autor Islam, Md. Jakirul, Li, Xiaodong, Mei, Yi

“…An illustration of different shapes of the time-varying transfer function with different values of the control parameter φ. [Display omitted] •Analyse how…”
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Teamwork Optimization Algorithm: A New Optimization Approach for Function Minimization/Maximization Autor Dehghani, Mohammad, Trojovský, Pavel

“…Population-based optimization algorithms are one of the most widely used and popular methods in solving optimization problems. In this paper, a new…”
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Problem formulations and solvers in linear SVM: a review Autor Chauhan, Vinod Kumar, Dahiya, Kalpana, Sharma, Anuj

“…Support vector machine (SVM) is an optimal margin based classification technique in machine learning. SVM is a binary linear classifier which has been extended…”
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