Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود 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

Solving Multiobjective Optimization Problem by Constraint Optimization

Multiobjective optimization problems (MOPs) have attracted intensive efforts from AI community and many multiobjective evolutionary algorithms (MOEAs) were proposed to tackle MOPs. In addition, a few researchers exploited MOEAs to solve constraint optimization problems (COPs). In this paper, we investigate how to tackle a MOP by iteratively solving a series of COPs and propose the algorithm nam...

متن کامل

Large-Scale Price Optimization via Network Flow

This paper deals with price optimization, which is to find the best pricing strategy that maximizes revenue or profit, on the basis of demand forecasting models. Though recent advances in regression technologies have made it possible to reveal price-demand relationship of a large number of products, most existing price optimization methods, such as mixed integer programming formulation, cannot ...

متن کامل

Accelerating Optimization via Adaptive Prediction

We present a powerful general framework for designing data-dependent optimization algorithms, building upon and unifying recent techniques in adaptive regularization, optimistic gradient predictions, and problemdependent randomization. We first present a series of new regret guarantees that hold at any time and under very minimal assumptions, and then show how different relaxations recover exis...

متن کامل

Defect prediction as a multiobjective optimization problem

In this paper we formalize the defect prediction problem as a multi-objective optimization problem. Specifically, we propose an approach, coined as MODEP (Multi-Objective DEfect Predictor), based on multi-objective forms of machine learning techniques—logistic regression and decision trees specifically— trained using a genetic algorithm. The multi-objective approach allows software engineers to...

متن کامل

Multiobjective optimization problem with variational inequality constraints

We study a general multiobjective optimization problem with variational inequality, equality, inequality and abstract constraints. Fritz John type necessary optimality conditions involving Mordukhovich coderivatives are derived. They lead to Kuhn-Tucker type necessary optimality conditions under additional constraint qualifications including the calmness condition, the error bound constraint qu...

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 Transactions on Evolutionary Computation

سال: 2019

ISSN: 1089-778X,1089-778X,1941-0026

DOI: 10.1109/tevc.2019.2896002