臺灣都市地區地狹人稠，在寸土寸金的土地上，民眾為尋求最大使用空間，而未依建築法規擅自建造，造成違章建築的產生，各縣市為抑制違章建築的發生，亦紛紛訂定許多違章建築管理規定，為解決大量違章建築，在有限的人力資源及預算下，為維護公共利益，分別訂定新違建及既存違建劃分日期，除優先拆除新違建外，針對有影響公共安全、公共交通、公共衛生、市容觀瞻等既存違建亦列為優先拆除，惟每年各縣市拆除違章建築預算有限，本研究係為探討如何在有限預算下，由最佳化程式運算，求得最小拆除成本，達成最佳人力配置，以增加違章建築拆除數量，進而降低因違章建築帶來之公共安全。
違章建築多數位於狹小巷弄裡，舉凡屋頂加蓋、防火間隔、陽台、露臺、夾層等增建之違章建築，該類型違章建築因所處位置狹小導致大型機具無法進入拆除，而多數倚賴人工拆除，故本研究針對人工拆除為研究範圍，並以屋頂加蓋違章建築為拆除之構造物，透過最佳化程式，建立違章建築拆除工程人力配置最佳化模式。
本研究針對屋頂加蓋違章建築拆除工程為案例，在一定工期及人力限制下，透過數學規畫方式編排，利用生物共生演算法2.0(SOS2.0)、生物共生演算法(SOS)、基因演算法(GA)、粒子群演算法(PSO)等程式進行拆除工程最佳化人力配置運算，依求解目標函數設定之拆除工程成本最小值，進而求得拆除工程最佳人力配置，並分析檢討各演算法運算結果與人工派遣之差異性。

The urban areas of Taiwan are densely populated and crowded. In the land of huge amounts of land, people are seeking the maximum use of space, and they did not build without authorization in accordance with the construction regulations, resulting in the occurrence of illegal buildings. Various counties and cities have also tried to suppress the occurrence of illegal buildings. To stipulate many illegal building management regulations, in order to solve a large number of illegal buildings, with limited human resources and budget, in order to protect the public interest, separately set the date for the new illegal building and the existing illegal building. Existing illegal constructions that affect public safety, public transportation, public health, and city appearance are also listed as priority for demolition. However, each county and city has a limited budget for demolition of illegal constructions. This study is to explore how to optimize the program under a limited budget. Calculation, to obtain the minimum demolition cost, to achieve the best manpower allocation, to increase the number of demolition of illegal buildings, and thereby reduce the public safety caused by illegal buildings.
Most of the illegal buildings are located in narrow alleys. Examples include illegal buildings with roofs, fire compartments, balconies, terraces, mezzanines, etc. This type of illegal buildings can not be demolished due to the narrow location, and most rely on manual demolition. Therefore, this study focuses on manual demolition, and uses roof-covered illegal buildings as the demolition structures. Through optimization programs, an optimized model of manpower allocation for illegal building demolition works is established.
This research is based on the case of the demolition of illegal buildings with roofs. Under certain construction period and manpower constraints, it is arranged through mathematical planning, using Symbiosis Algorithm 2.0 (SOS2.0), Symbiosis Algorithm (SOS), and Genetic Algorithm. Methods such as GA, particle swarm algorithm (PSO) and other programs are used to optimize the manpower configuration of the demolition project, and the minimum cost of the demolition project is set according to the solution objective function, so as to obtain the best manpower configuration of the demolition project, and analyze and review each The difference between algorithm calculation results and manual dispatch.

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