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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
New report lays out path to U.S. nuclear energy dominance
The new report “How America Can Achieve Nuclear Energy Dominance,” from the Working Group on U.S. Nuclear Energy Dominance, outlines a plan of action for the Trump administration that includes deploying new nuclear reactors, developing domestic supply chains, promoting nuclear exports, reforming regulations, and developing the workforce.
Working group chair Todd Abrajano said, “We welcome the Trump administration’s bold moves to kick-start the U.S. nuclear energy sector, but we recognize that President Trump’s executive orders alone can’t achieve our goals.”
Junhao Zhang, Weiwei Chen, Bingyu Ni, Jing Zheng, Kaixin Zhao, Wanyi Tian, Chao Jiang
Nuclear Science and Engineering | Volume 198 | Number 8 | August 2024 | Pages 1668-1681
Research Article | doi.org/10.1080/00295639.2023.2257508
Articles are hosted by Taylor and Francis Online.
During the decommissioning process of nuclear facilities, workers are exposed to radiation and face the risk of exceeding safe dose limits. Ensuring the safety of personnel requires not only enhancing radiation protection measures but also optimizing work paths to minimize exposure time and avoid high-radiation areas. This paper proposes a nested optimization algorithm that combines an ant colony optimization (ACO) with an improved A* algorithm for the decommissioning of a nonradiation source. The algorithm aims to minimize the total radiation dose and transforms the original path optimization problem into an equivalent traveling salesperson problem. The improved A* algorithm is employed in the inner layer to calculate the path with the lowest radiation dose for any given sales order. The ACO operates in the outer layer to determine a set of optimal working paths that traverse all target points. The provided solution example demonstrates that the proposed path optimization algorithm effectively integrates the radiation field and obstacles. It successfully identifies a sequence for dismantling with the lowest dose and corresponding optimal work path while ensuring the completion of the dismantling task. These findings are expected to offer valuable insights for optimizing personnel work paths during the subsequent decommissioning process of nuclear facilities.