A Hybrid Tabu Search-Based Artificial Immune Algorithm For Construction Site Layout Optimization

2018 ◽  
Author(s):  
Quang Vu Duc
Keyword(s):  
Tabu Search ◽  
Layout Optimization ◽  
Immune Algorithm ◽  
Construction Site ◽  
Artificial Immune ◽  
Artificial Immune Algorithm ◽  
Site Layout ◽  
Construction Site Layout

scholarly journals Regional Integrated Energy Site Layout Optimization Based on Improved Artificial Immune Algorithm

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4381
Author(s):  
Yan Xu ◽  
Jianhao Zhang
Keyword(s):  
Decision Making ◽  
Load Capacity ◽  
Layout Optimization ◽  
Immune Algorithm ◽  
Initial Population ◽  
Artificial Immune ◽  
Weighting Method ◽  
Artificial Immune Algorithm ◽  
Multi Objective ◽  
Site Layout

Regional integrated energy site layout optimization involves multi-energy coupling, multi-data processing and multi-objective decision making, among other things. It is essentially a kind of non-convex multi-objective nonlinear programming problem, which is very difficult to solve by traditional methods. This paper proposes a decentralized optimization and comprehensive decision-making planning strategy and preprocesses the data information, so as to reduce the difficulty of solving the problem and improve operational efficiency. Three objective functions, namely the number of energy stations to be built, the coverage rate and the transmission load capacity of pipeline network, are constructed, normalized by linear weighting method, and solved by the improved p-median model to obtain the optimal value of comprehensive benefits. The artificial immune algorithm was improved from the three aspects of the initial population screening mechanism, population updating and bidirectional crossover-mutation, and its performance was preliminarily verified by test function. Finally, an improved artificial immune algorithm is used to solve and optimize the regional integrated energy site layout model. The results show that the strategies, models and methods presented in this paper are feasible and can meet the interest needs and planning objectives of different decision-makers.

scholarly journals A Hybrid Tabu Search-Based Artificial Immune Algorithm for Construction Site Layout Optimization

2018 ◽  
Author(s):  
Vu Duc Quang ◽  
Nguyen Van Truong ◽  
Vu Thi Thuy ◽  
Hoang Xuan Huan
Keyword(s):  
Tabu Search ◽  
Construction Management ◽  
Hybrid Algorithm ◽  
Construction Site ◽  
Artificial Immune ◽  
Layout Problem ◽  
Complex Issue ◽  
Site Layout ◽  
Unique Nature ◽  
Construction Site Layout

Layout of temporary facilities on a construction site is essential to enhance productivity and safety. It is a complex issue due to the unique nature of construction. This problem is validated as an NP-hard and one of the challenging problems in the field of construction management. In this paper, we proposed a hybrid algorithm, named topt-aiNet, to solve the construction site layout problem by combining the aiNet algorithm with Tabu search. Experimental results showed that the proposed algorithm outperformed the stateof-the-art ones. DOI: 10.32913/rd-ict.vol2.no15.470

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