摘 要
能耗优化是当今能源与环境领域的重要研究课题，随着能源需求的不断增长和对环境保护要求的日益严格，如何在复杂系统中实现高效节能成为亟待解决的问题。模拟退火算法作为一种基于物理过程的随机搜索算法，在求解复杂非线性优化问题方面展现出独特优势。本文旨在探讨模拟退火算法在能耗优化领域的应用潜力及其改进策略。通过对传统模拟退火算法进行分析，引入自适应温度调整机制和混合启发式策略，有效提高了算法收敛速度和全局寻优能力。以工业生产过程中的典型能耗系统为研究对象，构建了多目标优化模型，将能耗、成本及环境影响等多因素纳入考量范围。实验结果表明，改进后的模拟退火算法能够在保证计算效率的同时获得更优解，相较于传统方法平均节能率达到15%以上，且具有良好的鲁棒性和稳定性。
关键词：能耗优化 模拟退火算法 自适应温度调整
Abstract
Energy consumption optimization is a critical research topic in the fields of energy and environmental science. With the continuous growth in energy demand and increasingly stringent environmental protection requirements, achieving efficient energy savings in complex systems has become an urgent challenge. The simulated annealing algorithm, as a stochastic search algorithm based on physical processes, demonstrates unique advantages in solving complex nonlinear optimization problems. This study investigates the application potential and improvement strategies of the simulated annealing algorithm in the domain of energy consumption optimization. By analyzing the traditional simulated annealing algorithm, this paper introduces adaptive temperature adjustment mechanisms and hybrid heuristic strategies, effectively enhancing the convergence speed and global optimization capability of the algorithm. Using typical energy consumption systems in industrial production processes as research subjects, a multi-ob jective optimization model is constructed, incorporating multiple factors such as energy consumption, cost, and environmental impact into consideration. Experimental results indicate that the improved simulated annealing algorithm can achieve superior solutions while ensuring computational efficiency, with an average energy-saving rate exceeding 15% compared to traditional methods, and demonstrating excellent robustness and stability.
Keyword:Energy Consumption Optimization Simulated Annealing Algorithm Adaptive Temperature Adjustment
目 录
1绪论 1
1.1能耗优化的研究背景与意义 1
1.2模拟退火算法在能耗优化中的应用现状 1
1.3本文研究方法概述 2
2模拟退火算法原理及其改进 2
2.1模拟退火算法基本原理 2
2.2改进的模拟退火算法策略 3
2.3算法改进对能耗优化的影响 3
3模拟退火算法在能耗优化中的具体应用 4
3.1工业生产中的能耗优化案例 4
3.2建筑能耗优化的应用实例 5
3.3交通系统中的能耗优化分析 5
4模拟退火算法优化效果评估及展望 6
4.1优化效果的评价指标体系 6
4.2实验结果分析与讨论 6
4.3模拟退火算法未来发展方向 7
结论 8
参考文献 9
致谢 10
