Tìm thấy 14+ kết quả cho từ khóa "Multi-objective optimization"
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A model and genetic algorithm for area-wide intersection signal optimization under user equilibrium traffic. Multi-objective optimization of urban road intersection signal timing based on particle swarm optimization
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Test results are presented in multi-objective optimization problems, special the animal feed optimization problem.. The paper is structured as follows: After the preamble is proposed GAs with population size adjustment. The next section presents briefly the problem multi-objective optimization problem and in particular animal feed optimization problem.
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Vanderpooten, Efficient computation of the search region in multi-objective optimization, Eur. Boddy, Solving time-dependent planning problems, in: Proceedings of the 7th National Conference on Artificial Intelligence, 1988, pp. López-Ibáñez, An improved dimension-sweep algorithm for the hypervolume indicator, in: Proceedings of the IEEE Congress on Evolutionary Computation, IEEE, 2006, pp. Vanderpooten, On the representation of the search region in multi-objective optimization, Eur
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Especially, an updated version of the interactive fuzzy utility method, named UIFUM, is proposed to deal with portfolio multi-objective optimization problems.. Keywords: Portfolio optimization, mathematical programming, single-objective optimization, multi-objective optimization, computational optimization methods..
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Coello Coello CA, Van Veldhuizen DA and Lamont GB (2002) Evolutionary Algorithms for Solving Multi-Objective Problems. Coello Coello CA and Lamont GB (Ed.) (2004) Applications of Multi-objective Evolutionary Algorithms. Deb K (2001) Multi-Objective Optimization Using Evolutionary Algorithms. De Jong K (2006) Evolutionary Computation: a unified approach.
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Algorithm for Multi-Objective Optimization, Modeling Simulation and Optimization Focus on Applications, Shkelzen Cakaj (Ed.
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Behavior-based navigation using multi-objective optimization. In behavior-based navigation using multi-objective optimization, each behavior is described by an objective function O k. Y is the vector of control signal and Y is a set of possible actions, or control parameters. The optimal overall control signal is the solution of following equation:. which is the best fit to all objectives O i .
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Murata, T.: Priority based matchmaking method of buyers and suppliers in b2b e- marketplace using multi-objective optimization
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Liu, An adaptive multi-objective evolutionary algorithm for constrained work°ow scheduling in clouds, Distrib. Buyya, An adaptive multi-objective evolutionary algorithm for constrained work°ow scheduling in clouds, Distrib. Liu, Evolutionary multi-objective work°ow scheduling in cloud, IEEE Trans. Granado, A genetic algorithm for multi-objective optimization in work°ow scheduling with hard constraints, Int.
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Tuy nhiên, thuật giải PSO vẫn hoạt động không tốt do hội tụ sớm và mắc phải những vấn đề về tối ưu hóa địa phương [14]. 2.2 Tối ưu đa mục tiêu (multi-objective optimization) Bài toán cân đối thời gian – chi phí trong tối ưu tiến độ xây dựng là một bài toán tối ưu đa mục tiêu (multi-objective optimization). Đặc điểm của bài toán tối ưu dạng này là xem xét đồng thời nhiều mục tiêu, trong đó các mục tiêu thường đối lập với nhau.
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The results of multi-factor studies show the correlation function of parameters with electric cost and roughness of veneer surface as follows:. The result of solving the multi-objective optimization problem shows reasonable technology parameters when slicing Betula Anoides wood with VS-10 slicing machine as follows: Cutting speed is 3 m/s and sloping angle of knife is 20 degrees.
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Li, An improved version of volume dominance for multi-objective optimisation, in: Proceedings of the 2009 International Conference on Evolutionary Multi-criterion Optimization (EMO 2009), Vol. Valenzuela, A simple evolutionary algorithm for multi-objective optimization (seamo), in: Proceedings of the 2002 Congress on Evolutionary Computation - CEC pp
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Chapter 3 : OPTIMIZATION RESEARCH OF THE HULL FORM PARAMETERS FOR THE RIVER-SEA CONTAINER SHIP 3.1. In support of ship hull form design, multi-objective optimization algorithms are being studied and applied. Implementing genetic algorithm to propose ship hull form. In support of ship hull form design, wave and frictional resistance are simultaneously considered in the objective function.
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Our results also highlight the efficiency of multi-objective optimization algorithms for the gene tree reconstruction problem. In particular, functional annotation of genes is usually deduced from the orthology and paral- ogy relation between genes, which is inferred from the comparison of a gene tree with a species tree.
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Metaheuristics are general optimization methods applicable to solve different optimization problems (Sörensen et al., 2018. Stojanović et al., 2017). Sayed et al., 2018), and healthcare (Tsai et al., 2016). Wang, 1993) algorithms that have gained great attention as compared to evolutionary algorithms (Del Ser et al., 2019). Mirjalili et al., 2014. Rashedi et al., 2009. To solve MOPs, several multi-objective swarm intelligence (MOSI) algorithms have been proposed (Coello et al., 2004.
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Lemonge, On similarity-based surrogate models for expensive single-and multi-objective evolutionary optimization, in:. Cai, A multioperator search strategy based on cheap surrogate models for evolutionary optimization, IEEE Transactions Evolutionary Computation
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Multiple objective optimization of air assisted liquid-liquid microextraction combined with solidified floating organic drop microextraction for simultaneous determination of. The preconcentration and determination of metal ions in aqueous solutions have been evaluated by several techniques such as solid phase extraction (SPE), liquid-liquid extraction (LLE) and micelle mediated cloud point extraction (CPE) [7,8].
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Multi-objective Construction Site Layout Planning Using Ge- netic Algorithms. Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities. Journal of Computing in Civil Engineering . Optimizing the planning of construction site security for critical infras- tructure projects. Dynamic construction site layout planning:. Genetic search for solving construction site-level unequal-area facility layout problems.
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In some multi-objective cases, all objectives can be quantified in the same units (e.g., monetary units for economic consequences) to determine the tradeoffs automatically. Which solutions should we include in the candidate decision set? A solution is Pareto-optimal if there are no feasible solutions that are at least as good in every objective. A solution is dominated if there is another solution better in one objective and at least as good in the rest.
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In comparison with the diode - clamped topology, CHB- based inverter is more popular in industry due to its high modularization, as well as its ability to use the redundancy voltage vectors to solve the multi- objective optimization problem [9].. Among all modulation strategies, the space vector modulation (SVM), which has been widely used for conventional 3-phase inverters, can also be applied to CHB topology with the superior performance although high computational cost is required.