太陽能是一個具有潛力的項目，因為太陽能不僅環保，也可以儲存電力以提供人們日常生活使用，例如加熱和照明。本研究著重於太陽能集中器佈局的日光節省系統，我們的研究目標是實施太陽能佈局規劃為公司帶來最佳利潤，並使住宅有更高的太陽能使用效率。為了使模型更加可靠，我們也考慮了如光反射和光傳輸損耗等一些因素。關於經濟規模，研究中增加了一些限制使研究得以更接近現實，例如聚光器的厚度或太陽光被傳送到面板使能量傳輸的輸出口的數量。為了提高房屋亮度，公司利潤會有所影響。本研究在不同目的衝突之間找到、提出一個折衷的解決方案。最後，介紹了並行計算基礎的遺傳演算法，以加快解決方案的質量和速度。總而言之，本研究結果將提供關於太陽光效率和人類使用以及太陽能解決方法下公司獲利的最佳策略。

Solar energy is a potential project because it not only protects the environment but also reserves the power for people to use in their daily life such as heating or lighting. This study focuses on the natural sunlight saving system named solar concentrator layout. In our study, we aim to bring the optimal profit for the firm when implementing the solar layout as well as helping a house get as much sunlight efficiency as possible for their using. We also consider some factors such as light reflection and light transmission loss to make the model more reliable. As for the economic scale, some constraints are added to make our study close to reality, such as the thickness of concentrator or the number of exits where a sunbeam is delivered to the main panel to enable energy transmission. To obtain a high brightness for the house, the firms would harm their profit. This study makes the balance between the conflict objectives to get a compromised solution. Finally, parallel-computing based genetic algorithm is introduced to accelerate the solution quality and speed. To summarize, the result of our study will be the best strategy for the light efficiency to supply people and the profits that the firm earns for the job.

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