Design of an iterative method for environmental-sustainable development: Integrating bioinspired computing techniques

IF 4.7 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Chatrabhuj, Kundan Meshram
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引用次数: 0

Abstract

The need for sustainable development has grown in response to global environmental, social, and economic challenges. Conventional computational methods frequently struggle to address the complex nature of the Sustainable Development Goals (SDGs), lacking the ability to balance global search with local optimization and failing to prioritize goals related to sustainability. To address these restrictions, this work introduces the Integrated Bioinspired Computing Model for Sustainable Development (IBCMSD). By combining Genetic Algorithms (GAs), Artificial Neural Networks (ANNs), and Ant Colony Optimization (ACO), a cohesive hybrid model is developed that improves exploration and exploitation, balance for increased efficiency, and solution quality. It is implemented on High-Performance Computing (HPC) clusters to ensure scalability and resilience when dealing with complicated optimization challenges. Furthermore, using a multidisciplinary co-design method completes the model with multiple views, increasing its relevance and applicability in real-world circumstances. IBCMSD makes a significant contribution to computational sustainability by leveraging bioinspired computing, potentially enabling informed decision-making and SDG accomplishment across multiple domains.

设计环境可持续发展的迭代方法:整合生物启发计算技术
为应对全球环境、社会和经济挑战,可持续发展的需求与日俱增。传统的计算方法往往难以应对可持续发展目标(SDGs)的复杂性,缺乏平衡全局搜索与局部优化的能力,也无法优先考虑与可持续发展相关的目标。为了解决这些限制,这项工作引入了可持续发展综合生物启发计算模型(IBCMSD)。通过将遗传算法(GA)、人工神经网络(ANN)和蚁群优化(ACO)相结合,开发出了一种具有内聚力的混合模型,它能改善探索和利用、提高效率的平衡以及解决方案的质量。该模型在高性能计算(HPC)集群上实施,以确保在处理复杂的优化挑战时具有可扩展性和弹性。此外,采用多学科协同设计方法,使模型具有多重视角,提高了模型在现实世界中的相关性和适用性。通过利用生物启发计算,IBCMSD 为计算可持续性做出了重大贡献,有可能在多个领域实现知情决策和可持续发展目标。
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来源期刊
Environmental Development
Environmental Development Social Sciences-Geography, Planning and Development
CiteScore
8.40
自引率
1.90%
发文量
62
审稿时长
74 days
期刊介绍: Environmental Development provides a future oriented, pro-active, authoritative source of information and learning for researchers, postgraduate students, policymakers, and managers, and bridges the gap between fundamental research and the application in management and policy practices. It stimulates the exchange and coupling of traditional scientific knowledge on the environment, with the experiential knowledge among decision makers and other stakeholders and also connects natural sciences and social and behavioral sciences. Environmental Development includes and promotes scientific work from the non-western world, and also strengthens the collaboration between the developed and developing world. Further it links environmental research to broader issues of economic and social-cultural developments, and is intended to shorten the delays between research and publication, while ensuring thorough peer review. Environmental Development also creates a forum for transnational communication, discussion and global action. Environmental Development is open to a broad range of disciplines and authors. The journal welcomes, in particular, contributions from a younger generation of researchers, and papers expanding the frontiers of environmental sciences, pointing at new directions and innovative answers. All submissions to Environmental Development are reviewed using the general criteria of quality, originality, precision, importance of topic and insights, clarity of exposition, which are in keeping with the journal''s aims and scope.
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