Energetic island design optimization. A case study using sweep parameter search and variable neighborhood search techniques

2015 ◽  
Keyword(s):  
Design Optimization ◽  
Variable Neighborhood Search ◽  
Neighborhood Search ◽  
Search Techniques ◽  
Parameter Search

scholarly journals Adaptive Variable Neighborhood Search-Based Supply Network Reconfiguration for Robustness Enhancement

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-21
Author(s):  
Ping Lou ◽  
Yuting Chen ◽  
Song Gao
Keyword(s):  
Structural Design ◽  
Variable Neighborhood Search ◽  
Real Life ◽  
Tohoku Earthquake ◽  
Neighborhood Search ◽  
Network Reconfiguration ◽  
Supply Network ◽  
Supply Networks ◽  
Robustness Metrics

Robustness of a supply network highly depends on its structure. Although structural design methods have been proposed to create supply networks with optimal robustness, a real-life supply network can be quite different from these optimal structural designs. Meanwhile, real cases such as Thailand floods and Tohoku earthquake demonstrate the vulnerability of supply networks in real life. Obviously, it is urgent to enhance the robustness of existing real-life supply networks. Thus, in this paper, a supply network reconfiguration method based on adaptive variable neighborhood search (AVNS) is proposed to enhance the structural robustness of supply networks facing both random and target disruptions. Firstly, a supply network model considering the heterogeneous roles of entities is introduced. Based on the model, two robustness metrics, Rr and Rt, are proposed to describe the tolerance of supply networks facing random and target disruptions, respectively. Then, the problem of reconfiguration-based supply network robustness enhancement is described. To solve the problem effectively and efficiently, a new heuristic based on general variable neighborhood search, namely, AVNS, is proposed. Finally, a case study based on three real-life supply networks is presented to verify the applicability and effectiveness of the proposed robustness enhancing method.

scholarly journals Variable Neighborhood Search for Major League Baseball Scheduling Problem

2021 ◽  
Vol 13 (7) ◽  
pp. 4000
Author(s):  
Yun-Chia Liang ◽  
Yen-Yu Lin ◽  
Angela Hsiang-Ling Chen ◽  
Wei-Sheng Chen
Keyword(s):  
Standard Deviation ◽  
Variable Neighborhood Search ◽  
Major League Baseball ◽  
Leisure Activities ◽  
Critical Role ◽  
Modern Society ◽  
Neighborhood Search ◽  
Scheduling Problem ◽  
Major League

Modern society pays more and more attention to leisure activities, and watching sports is one of the most popular activities for people. In professional leagues, sports scheduling plays a very critical role. To efficiently arrange a schedule while complying with the relevant rules in a sports league has become a challenge for schedule planners. This research uses Major League Baseball (MLB) of the year 2016 as a case study. The study proposed the Variable Neighborhood Search (VNS) algorithm with different coding structures to optimize the objective function—minimize the total travelling distance of all teams in the league. We have compared the algorithmic schedules with the 2016 and 2019 MLB regular-season schedules in the real-world case for its performance evaluation. The results have confirmed success in reducing the total travelling distances by 2.48% for 2016 and 6.02% in 2019 while lowering the standard deviation of total travelling distances by 7.06% for 2016.

scholarly journals Hybrid Seven-bar Press Mechanism

2018 ◽  
Vol 12 (3) ◽  
pp. 181-187
Author(s):  
M. Erkan Kütük ◽  
L. Canan Dülger
Keyword(s):  
Genetic Algorithm ◽  
Objective Function ◽  
Design Optimization ◽  
Hybrid System ◽  
Degrees Of Freedom ◽  
Dimensional Synthesis ◽  
Design Variables ◽  
Optimization Study ◽  
Metal Stamping

An optimization study with kinetostatic analysis is performed on hybrid seven-bar press mechanism. This study is based on previous studies performed on planar hybrid seven-bar linkage. Dimensional synthesis is performed, and optimum link lengths for the mechanism are found. Optimization study is performed by using genetic algorithm (GA). Genetic Algorithm Toolbox is used with Optimization Toolbox in MATLAB®. The design variables and the constraints are used during design optimization. The objective function is determined and eight precision points are used. A seven-bar linkage system with two degrees of freedom is chosen as an example. Metal stamping operation with a dwell is taken as the case study. Having completed optimization, the kinetostatic analysis is performed. All forces on the links and the crank torques are calculated on the hybrid system with the optimized link lengths

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