https://rajpub.com/index.php/ijct/issue/feed 2025-03-31T10:21:31+00:00 Editorial Office editor@rajpub.com Open Journal Systems https://rajpub.com/index.php/ijct/article/view/9709 2025-02-25T12:57:59+00:00 Sirui Mao lpctstr@outlook.com Masato Edahiro eda@ertl.jp

<p>This study addresses the task-scheduling optimization challenges in parallel computing systems using a novel meta-<br />heuristic framework. We analyze the differential evolution in task scheduling and propose an advanced shift-chain</p> <p>methodology to improve the cooperation between scheduling components. The proposed framework introduces a wait-<br />ing time-based neighborhood exploration strategy for handling complex task dependencies, along with two parallel</p> <p>implementation approaches: basic matching vector (MV) parallelization and an event-driven strategy. The experi-<br />mental results demonstrated superior solution quality and computational efficiency compared with existing methods,</p> <p>particularly in large scale problems. The modular design of this framework enables practical applications in modern<br />computing environments.</p>

2025-03-31T00:00:00+00:00 Copyright (c) 2025 Sirui Mao, Masato Edahiro