Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Ant Colony Optimization
Constrained optimization via particle evolutionary swarm optimization algorithm (PESO)
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
An effective co-evolutionary particle swarm optimization for constrained engineering design problems
Engineering Applications of Artificial Intelligence
On the performance of artificial bee colony (ABC) algorithm
Applied Soft Computing
Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Grenade Explosion Method-A novel tool for optimization of multimodal functions
Applied Soft Computing
Unified particle swarm optimization for solving constrained engineering optimization problems
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Useful infeasible solutions in engineering optimization with evolutionary algorithms
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
A simple multimembered evolution strategy to solve constrained optimization problems
IEEE Transactions on Evolutionary Computation
Data clustering based on teaching-learning-based optimization
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part II
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
A dynamic neighborhood learning based particle swarm optimizer for global numerical optimization
Information Sciences: an International Journal
A note on teaching-learning-based optimization algorithm
Information Sciences: an International Journal
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence
A study of the single-machine two-agent scheduling problem with release times
Applied Soft Computing
Comments on "A note on teaching-learning-based optimization algorithm"
Information Sciences: an International Journal
Sizing truss structures using teaching-learning-based optimization
Computers and Structures
A selective teaching-learning based niching technique with local diversification strategy
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
Teaching learning opposition based optimization for the location of median line in 3-d space
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
Teaching learning based optimization for neural networks learning enhancement
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
Multi-objective optimization using teaching-learning-based optimization algorithm
Engineering Applications of Artificial Intelligence
A new hybrid algorithm for unconstrained optimisation problems
International Journal of Computer Applications in Technology
Unsupervised feature selection using rough set and teaching learning-based optimisation
International Journal of Artificial Intelligence and Soft Computing
Constrained optimisation and robust function optimisation with EIWO
International Journal of Bio-Inspired Computation
Engineering Applications of Artificial Intelligence
International Journal of Metaheuristics
Optimum design of grillage structures to LRFD-AISC with teaching-learning based optimization
Structural and Multidisciplinary Optimization
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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A new efficient optimization method, called 'Teaching-Learning-Based Optimization (TLBO)', is proposed in this paper for the optimization of mechanical design problems. This method works on the effect of influence of a teacher on learners. Like other nature-inspired algorithms, TLBO is also a population-based method and uses a population of solutions to proceed to the global solution. The population is considered as a group of learners or a class of learners. The process of TLBO is divided into two parts: the first part consists of the 'Teacher Phase' and the second part consists of the 'Learner Phase'. 'Teacher Phase' means learning from the teacher and 'Learner Phase' means learning by the interaction between learners. The basic philosophy of the TLBO method is explained in detail. To check the effectiveness of the method it is tested on five different constrained benchmark test functions with different characteristics, four different benchmark mechanical design problems and six mechanical design optimization problems which have real world applications. The effectiveness of the TLBO method is compared with the other population-based optimization algorithms based on the best solution, average solution, convergence rate and computational effort. Results show that TLBO is more effective and efficient than the other optimization methods for the mechanical design optimization problems considered. This novel optimization method can be easily extended to other engineering design optimization problems.