https://rajpub.com/index.php/ijct en-US editor@rajpub.com (Editorial Office) ijct@rajpub.com (Manbir Singh) Mon, 31 Mar 2025 10:21:31 +0000 OJS 3.3.0.7 http://blogs.law.harvard.edu/tech/rss 60 https://rajpub.com/index.php/ijct/article/view/9709 <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> Sirui Mao, Masato Edahiro Copyright (c) 2025 Sirui Mao, Masato Edahiro https://creativecommons.org/licenses/by/4.0 https://rajpub.com/index.php/ijct/article/view/9709 Mon, 31 Mar 2025 00:00:00 +0000