Mar 19, 2024 · In this direction, we propose an efficient multi-objective task scheduling framework to schedule computationally intensive tasks on heterogeneous grid networks. This framework …

Apr 14, 2021 · Liu et al. proposed an efficient surrogate-assisted multi-task memetic algorithm (SaM-MA) for solving MTO problems. In the proposed method, the population is divided into …

12 hours ago · Bandit algorithms and Large Language Models (LLMs) have emerged as powerful tools in artificial intelligence, each addressing distinct yet complementary challenges in …

Jul 4, 2022 · Optimization techniques are broadly classified into two main classes such as exact and meta-heuristic. Exact techniques are classical algorithms that guarantee the finding of an …

Dec 1, 2021 · Multi-Objective Evolutionary Algorithms (MOEAs) are powerful search techniques that have been extensively used to solve difficult problems in a wide variety of disciplines. …

Dec 2, 2021 · Therefore, this article proposes a multi-objective clustering evolutionary algorithm called MCEA to minimize the cost and energy consumption of multi-workflow execution under …

Jul 31, 2024 · Here, we present a tristate-based logic synthesis (TriLoS) approach as a conceptual alternative to map various combinational logics into multi-layered mammalian gene …

Mar 10, 2022 · We provide a comprehensive overview of the literature of algorithmic approaches for multiobjective mixed-integer and integer linear optimization problems. More precisely, we …

Multiscale modeling provides a framework, based on fundamental principles, for constructing mathematical and computational models of such phenomena, by examining the connection …

Mar 24, 2023 · In computer science, there are various parallel algorithms that can run on a multiprocessor computer, such as multithreaded algorithms.Â. In this tutorial, we’ll take a look …