An Optimization Method Based on Chaotic Immune Evolutionary Algorithm

2005 ◽  
pp. 890-894
Author(s):  
Yong Chen ◽  
Xiyue Huang
Keyword(s):  
Evolutionary Algorithm ◽  
Optimization Method ◽  
Immune Evolutionary Algorithm

Soccer Game Optimization

2015 ◽  
pp. 1434-1469 ◽  
Author(s):  
Hindriyanto Dwi Purnomo ◽  
Hui-Ming Wee
Keyword(s):  
Evolutionary Algorithm ◽  
Information Sharing ◽  
Swarm Intelligence ◽  
Soccer Player ◽  
Optimization Problems ◽  
Optimization Method ◽  
New Method ◽  
Intelligence Algorithm ◽  
Reproduction Process ◽  
Swarm Intelligence Algorithm

A new metaheuristic algorithm is proposed. The algorithm integrates the information sharing as well as the evolution operators in the swarm intelligence algorithm and evolutionary algorithm respectively. The basic soccer player movement is used as the analogy to describe the algorithm. The new method has two basic operators; the move off and the move forward. The proposed method elaborates the reproduction process in evolutionary algorithm with the powerful information sharing in the swarm intelligence algorithm. Examples of implementations are provided for continuous and discrete problems. The experiment results reveal that the proposed method has the potential to become a powerful optimization method. As a new method, the proposed algorithm can be enhanced in many different ways such as investigating the parameter setting, elaborating more aspects of the soccer player movement as well as implementing the proposed method to solve various optimization problems.

An Immune-Evolutionary Algorithm for Multiple Rearrangements of Gene Expression Data

2004 ◽  
Vol 5 (2) ◽  
pp. 157-179 ◽  
Author(s):  
Janaína S. de Sousa ◽  
Lalinka de C. T. Gomes ◽  
George B. Bezerra ◽  
Leandro N. de Castro ◽  
Fernando J. Von Zuben
Keyword(s):  
Gene Expression ◽  
Evolutionary Algorithm ◽  
Gene Expression Data ◽  
Expression Data ◽  
Immune Evolutionary Algorithm

Assignment and layout integration optimization for simplified satellite re-entry module component layout

2017 ◽  
Vol 233 (12) ◽  
pp. 4287-4301 ◽  
Author(s):  
Zhi-Zheng Xu ◽  
Chong-Quan Zhong ◽  
Hong-Fei Teng
Keyword(s):  
Evolutionary Algorithm ◽  
Optimization Model ◽  
Optimization Problem ◽  
Optimization Method ◽  
Layout Design ◽  
Layout Optimization ◽  
Optimization Process ◽  
Supporting Surface ◽  
Computational Performance ◽  
Component Layout

Previous studies of satellite module component (equipment) layout optimization usually initialized a component assignment in the initialization stage, which kept constant in following optimization process. The invariable component assignment will restrict the further improvement in layout optimization. To overcome this deficiency, an assignment and layout integration optimization method is presented for multi-module or supporting surface satellite module component layout design. The assignment and layout integration optimization model and the component reassignment model are built. The component reassignment model is solved by algorithms with new heuristic rule, and the integration optimization model itself is solved by evolutionary algorithm. The purpose of this article is to improve the computational performance of algorithms for multi-module or supporting surface satellite module component layout optimization. The proposed method is applied to a simplified satellite re-entry module component layout optimization problem to illustrate its effectiveness.

Specialized Evolutionary Algorithm for Production Scheduling in Complex Correlated Manufacturing System

2010 ◽  
Vol 20-23 ◽  
pp. 226-231
Author(s):  
Chong Chen ◽  
Ya Bo Luo
Keyword(s):  
Evolutionary Algorithm ◽  
Production Scheduling ◽  
Machine Tools ◽  
Job Shop ◽  
Optimization Method ◽  
The Novel ◽  
Time Table ◽  
Study Case ◽  
Lower Production ◽  
Independent Tasks

Job-shop is the problem of allocating the tasks to machine tools with a time table satisfying a set of objectives. Currently researches on Job-shop generally take the independent production processing as the study case. It is still difficult to schedule the production processing with complex correlated features. Taking the shop with m machine tools and n waiting correlated tasks as the study case, this research proposes an evolutionary algorithm-based and correlated constraint-driven optimization method to overcome the above difficulty. First, the tasks are classed as the correlated tasks and independent tasks according to the correlated features and the priority levels, which construct the foundation of modeling for complex correlated constraints. And then, the objective function is built taking the lower production cost and higher equipment capacity factor as optimization objectives. Finally, the optimization model is developed and solved with the specialized evolution algorithm. The simulation with the Matlab demonstrates the feasibility of the novel methodology.

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