A modified genetic algorithm for single machine scheduling
Computers and Industrial Engineering
Journal of Global Optimization
A novel hybrid immune algorithm for global optimization in design and manufacturing
Robotics and Computer-Integrated Manufacturing
Particle swarm optimization with preference order ranking for multi-objective optimization
Information Sciences: an International Journal
GSA: A Gravitational Search Algorithm
Information Sciences: an International Journal
A new design optimization framework based on immune algorithm and Taguchi's method
Computers in Industry
Grenade Explosion Method-A novel tool for optimization of multimodal functions
Applied Soft Computing
Differential evolution in constrained numerical optimization: An empirical study
Information Sciences: an International Journal
An improved vector particle swarm optimization for constrained optimization problems
Information Sciences: an International Journal
On convergence of the multi-objective particle swarm optimizers
Information Sciences: an International Journal
A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems
Applied Soft Computing
Information Sciences: an International Journal
An improved shuffled frog-leaping algorithm with extremal optimisation for continuous optimisation
Information Sciences: an International Journal
A modified Artificial Bee Colony algorithm for real-parameter optimization
Information Sciences: an International Journal
Biogeography-Based Optimization
IEEE Transactions on Evolutionary Computation
The decision fusion in the wireless network with possible transmission errors
Information Sciences: an International Journal
A novel chemistry based metaheuristic optimization method for mining of classification rules
Expert Systems with Applications: An International Journal
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
Adaptive population tuning scheme for differential evolution
Information Sciences: an International Journal
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
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
Hybridising harmony search with a Markov blanket for gene selection problems
Information Sciences: an International Journal
International Journal of Metaheuristics
Engineering Applications of Artificial Intelligence
Optimum design of grillage structures to LRFD-AISC with teaching-learning based optimization
Structural and Multidisciplinary Optimization
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An efficient optimization method called 'Teaching-Learning-Based Optimization (TLBO)' is proposed in this paper for large scale non-linear optimization problems for finding the global solutions. The proposed method is based on the effect of the influence of a teacher on the output of learners in a class. The basic philosophy of the method is explained in detail. The effectiveness of the method is tested on many benchmark problems with different characteristics and the results are compared with other population based methods.