Multi-objective immune algorithm with dynamic memetic Cauchy mutation

2011 ◽  
Author(s):  
Yanli Yang ◽  
Hanbing Fang
Keyword(s):  
Immune Algorithm ◽  
Multi Objective ◽  
Cauchy Mutation

Chaos-based multi-objective immune algorithm with a fine-grained selection mechanism

2010 ◽  
Vol 15 (7) ◽  
pp. 1273-1288 ◽  
Author(s):  
Jianyong Chen ◽  
Qiuzhen Lin ◽  
Zhen Ji
Keyword(s):  
Immune Algorithm ◽  
Selection Mechanism ◽  
Multi Objective ◽  
Fine Grained

Multi-objective immune algorithm with Baldwinian learning

2012 ◽  
Vol 12 (8) ◽  
pp. 2654-2674 ◽  
Author(s):  
Yutao Qi ◽  
Fang Liu ◽  
Meiyun Liu ◽  
Maoguo Gong ◽  
Licheng Jiao
Keyword(s):  
Immune Algorithm ◽  
Multi Objective

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.

Determining Reconstruction Variables and Parameters on Improved Multi-Objective Immune Algorithm

2013 ◽  
Vol 8 (12) ◽  
Author(s):  
Wei Wang ◽  
Ying Li ◽  
Hui Tao ◽  
Xiao-Ping Ma
Keyword(s):  
Immune Algorithm ◽  
Multi Objective
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