By Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger
This short offers a close creation, dialogue and bibliographic overview of the nature1-inspired optimization set of rules referred to as concord seek. It makes use of lots of simulation effects to illustrate the benefits of concord seek and its editions and in addition their drawbacks. The authors express how weaknesses might be amended through hybridization with different optimization tools. The concord seek approach with functions might be of worth to researchers in computational intelligence in demonstrating the cutting-edge of analysis on an set of rules of present curiosity. It additionally is helping researchers and practitioners of electric and computing device engineering extra more often than not in acquainting themselves with this system of vector-based optimization.
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Additional resources for An Introduction to Harmony Search Optimization Method
M and hj ð~ xÞ ¼ 0, j ¼ 1; 2; . ; N, where f ð~ xÞ is the objective function, and gi ð~ xÞ and hj ð~ xÞ are the inequality and equality constraint functions, respectively. As a matter of fact, the equality constraint functions can be easily transformed into the inequality constraint functions: hj ð~ xÞ À e 0; ð4:3Þ where e is a small enough tolerance parameter. Therefore, we only consider the inequality constraint functions gi ð~ xÞ 0; i ¼ 1; 2; . ; M in this section. 3 A Modified HS Method for Constrained Optimization 25 The constrained optimization problems are generally difficult to deal with, because the constraint functions can divide the whole search space into some disjoint islands.
3 -3 10 -4 10 -5 Fitness 10 -6 10 -7 10 -8 10 0 50 100 150 200 250 300 350 400 450 500 Number of Generations Fig. 16 Convergence procedures of CSA, HS, and hybrid HS algorithm in optimization of fuzzy classification system for wine data classification (N = 20). 16 illustrates the convergence speed comparison among the CSA, HS, and proposed hybrid HS algorithm. The results are the average of 10 independent runs. N = 20, and 118 sets of wine data are used as the test data. As we can observe, the hybrid HS method yields the best classification performance.
Soleimanib, Design optimization of shell and tube heat exchangers using global sensitivity analysis and harmony search algorithm. Appl. Therm. Eng. 29(5–6), 1026–1031 (2009) 6. M. El-Abd, An improved global-best harmony search algorithm. Appl. Math. Comput. 222, 94–106 (2013) 7. V. K. Chhabra, D. Kumar, Parameter adaptive harmony search algorithm for unimodal and multimodal optimization problems. J. Comput. Sci. 5(2), 144–155 (2014) 8. H. Omrana, M. Mahdavib, Global-best harmony search. Appl. Math.