Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites

<span>In this paper, Clustered Adaptive Teaching Learning Based Optimization (CATLBO) algorithm is proposed for determining the optimal hourly schedule of power generation in a hydro-thermal power system. In the proposed approach, a multi-reservoir cascaded hydro-electric system with a non-linear relationship between water discharge rate, net head and power generation is considered. Constraints such as power balance, water balance, reservoir volume limits and operation limits of hydro and thermal plants are considered. The feasibility and effectiveness of the proposed algorithm is demonstrated through a test system, and the results are compared with existing conventional and evolutionary algorithms. Simulation results reveals that the proposed CATLBO algorithm appears to be the best in terms of convergence speed and optimal cost compared with other techniques.</span>

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Parameters identification of photovoltaic models using self-adaptive teaching-learning-based optimization

Energy Conversion and Management ◽

10.1016/j.enconman.2017.04.054 ◽

2017 ◽

Vol 145 ◽

pp. 233-246 ◽

Cited By ~ 80

Author(s):

Kunjie Yu ◽

Xu Chen ◽

Xin Wang ◽

Zhenlei Wang

Keyword(s):

Parameters Identification ◽

Adaptive Teaching ◽

Teaching Learning Based Optimization ◽

Teaching Learning ◽

Self Adaptive

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Adaptive Teaching Learning Based Optimization Applied to Nonlinear Economic Load Dispatch Problem

International Journal of Swarm Intelligence Research ◽

10.4018/ijsir.2014100101 ◽

2014 ◽

Vol 5 (4) ◽

pp. 1-16 ◽

Cited By ~ 2

Author(s):

Sk Md Ali Bulbul ◽

Provas Kumar Roy

Keyword(s):

Classroom Environment ◽

Teaching And Learning ◽

Dynamic Parameter ◽

Economic Load Dispatch ◽

System A ◽

Suitable Parameter ◽

Adaptive Teaching ◽

Teaching Learning Based Optimization ◽

Teaching Learning ◽

The Cost

Economic load dispatch (ELD) is a process of calculating real power dispatch by satisfying a set of constraints such a way as fuel cost can be minimized. Inclusion of the effect of valve-points and prohibited operation zones (POZs) in the cost functions make ELD problem a non-linear and non-convex one. For solving ELD in power system a newly proposed evolutionary technique namely adaptive teaching learning based optimization (ATLBO) is presented in this article. TLBO mimics the influence of a teacher on students in a classroom environment by social interaction. ATLBO is an improved version of TLBO which makes TLBO faster and more robust. An adaptive dynamic parameter control mechanism is adopted by the proposed ATLBO algorithm to determine the suitable parameter settings for teaching and learning phases of TLBO algorithm. The proposed ATLBO algorithm is tested in three different cases like 10-unit, 40-unit, and 80-unit systems. A comparison of numerical results with other well established techniques reveals optimization superiority of the proposed scheme both in quality of solution and computational efficiency.

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