Abstract: In this paper, a novel general class of optimality criteria is defined and proposed to solve multi-objective optimization problems by using evolutionary algorithms. These criteria, named ...

Abstract: Evolutionary multi-objective optimization algorithms are widely used for solving optimization problems with multiple conflicting objectives. However, basic evolutionary multi-objective ...

App store optimization companies can contribute to effective efforts when trying to get mobile apps noticed in the crowded app stores. If you’re an app owner or marketer aiming to boost app visibility ...

This repository provides the Java (jMetal 4.5), C, Matlab/Octave, and Python implementations of the (at least not synthetic) real-world (RE) problems presented in the following paper: Ryoji Tanabe and ...

With 54% of global marketers planning to reduce spending in 2025, ad spend efficiency will be critical. The goal is clear: maximize your marketing impact for minimum cost. However, the path to ...

As pressure to reduce costs increases, CFOs have an opportunity to deepen their cross-functional influence and fortify their advisory role to the CEO and other C-suite leaders. Capitalizing on this ...

At LinkedIn, we’re passionate about helping marketers prove and improve the impact of their campaigns. That’s why we’ve put together this 101 primer on LinkedIn Ads measurement and optimization. It’s ...

Large language models (LLMs) have revolutionized a wide range of tasks and applications that were previously reliant on manually crafted machine learning (ML) solutions, streamlining through ...

In designing functional biological sequences with machine learning, the activity predictor tends to be inaccurate due to shortage of data. Top ranked sequences are thus unlikely to contain effective ...

State Key Laboratory of Chemical Engineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, P. R. China ...