Ouni A, Kessentini M, Sahraoui H. Chapter Four--Multiobjective Optimization for Software Refactoring and Evolution. In: Ali H, editor. Advances in Computers. Volume 94: Elsevier; 2014. p. 103-67.Ali Ouni, Marouane Kessentini, Houari A. Sahraoui: Multiobjective Optimization for Software ...
Itoh, Multi-objective optimization for software development projects, in: Proc. of the International Multi Conference of Engineers and Computer Scientists (IMECS), vol. 1, pp. 17-19, 2010.T. Gonsalves and K. Itoh, "Multi-Objective Optimization for Software Development Projects," in Lecture ...
深度学习在求解多目标优化问题(Multi-Objective Optimization, MOO)方面有着广泛的应用。多目标优化问题是指需要同时优化多个通常相互冲突的目标函数的问题。在深度学习的背景下,这些目标可能包括损失最小化、模型复杂度降低、稀疏性增加等。 多目标优化算法_IT猿手的博客-CSDN博客 深度强化学习(Deep Reinforcement Learning...
Evolutionary algorithms are popular approaches to solving multiobjective optimization. Currently most evolutionary optimizers apply Pareto-based ranking schemes. Genetic algorithms such as the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and Strength Pareto Evolutionary Algorithm 2 (SPEA-2) have bec...
在无线通信的理论研究工作中,我们通常需要建立一个优化问题以实现资源分配。这个优化问题将包括优化目标以及约束条件。相比于单目标优化问题,多目标优化问题[1]是系统性地同时优化一系列目标函数的过程,也被称为矢量优化(vector optimization)。 本文将首先介绍单目标优化问题,然后介绍多目标优化问题的基本形式和其基于性质...
Solve multiobjective optimization problems in serial or parallel Solve problems that have multiple objectives by the goal attainment method. For this method, you choose a goal for each objective, and the solver attempts to find a point that satisfies all goals simultaneously, or has relatively equal...
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MULTI: Multi-Objective Effort-Aware Just-in-Time Software Defect Prediction Conclusion: By using multi-objective optimization, MULTI can perform significantly better than the state-of-the-art supervised and unsupervised methods in... X Chen,Y Zhao,Q Wang,... - 《Information & Software Technology...
Common approaches for multiobjective optimization include: Goal attainment:reduces the values of a linear or nonlinear vector function to attain the goal values given in a goal vector. The relative importance of the goals is indicated using a weight vector. Goal attainment problems may also be subj...
Multiobjective optimization caters to achieving multiple goals, subject to a set of constraints, with a likelihood that the objectives will conflict with each other. Multiobjective optimization can also be explained as a multicriteria decision-making process, in which multiple objective functions have ...