A Double Learning Models-Based Multi-Objective Estimation of Distribution Algorithm

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multi-objective Grasshopper Optimization Algorithm based Reconfiguration of Distribution Networks

Network reconfiguration is a nonlinear optimization procedure which calculates a radial structure to optimize the power losses and improve the network reliability index while meeting practical constraints. In this paper, a multi-objective framework is proposed for optimal network reconfiguration with the objective functions of minimization of power losses and improvement of reliability index. T...

متن کامل

A Distributed Approach for Multi-Objective Estimation of Distribution Algorithm

This paper proposes a novel distributed framework of using local models to multi-objective estimation of distribution algorithms. Within this framework, the search space is explicitly divided into several non-overlapping local areas where each of these areas is associated with a population (a processing node) used to approximate a local model. This helps distribution of computation on several p...

متن کامل

A Real-Coded Multi-objective Estimation of Distribution Algorithm

A new real-coded multi-objective estimation of distribution algorithm (RCMEDA) for optimization problems with continuous variables is developed. Decision tree is used for discretization to encode conditional dependencies among variables in RCMEDA, i.e. decision-tree-based probabilistic model is used. By building and sampling the probabilistic models, the algorithm reproduces the genetic informa...

متن کامل

MONEDA: scalable multi-objective optimization with a neural network-based estimation of distribution algorithm

The extension of estimation of distribution algorithms (EDAs) to the multi–objective domain has led to multi–objective optimization EDAs (MOEDAs). Most MOEDAs have limited themselves to porting single-objective EDAs to the multi–objective domain. Although MOEDAs have proved to be a valid approach, the last point is an obstacle to the achievement of a significant improvement regarding “standard”...

متن کامل

MOPED: A Multi-objective Parzen-Based Estimation of Distribution Algorithm for Continuous Problems

An evolutionary multi-objective optimization tool based on an estimation of distribution algorithm is proposed. The algorithm uses the ranking method of non-dominated sorting genetic algorithm-II and the Parzen estimator to approximate the probability density of solutions lying on the Pareto front. The proposed algorithm has been applied to different types of test case problems and results show...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEEE Access

سال: 2019

ISSN: 2169-3536

DOI: 10.1109/access.2019.2945818