Disassembly Sequence Planning (DSP) is a challenging NP-hard combinatorial optimization problem. As a new and promising population-based evolutional algorithm, the Teaching–Learning-Based Optimization (TLBO) algorithm has been successfully applied to various research problems. However, TLBO is not capable or effective in DSP optimization problems with discrete solution spaces and complex disass...

This study explores the use of teaching-learning-based optimization (TLBO) algorithm for thermodynamic optimization of a plate-fin heat exchanger. Minimizing the total number of entropy generation units for specific heat duty requirement under given space restrictions is considered as objective function. Based on the applications heat exchanger length, fin frequency, numbers of fin layers, lanc...

In this paper, a new algorithm which is the result of the combination of cellular learning automata and frog leap algorithm (SFLA) is proposed for optimization in continuous, static environments.At the proposed algorithm, each memeplex of frogs is placed in a cell of cellular learning automata. Learning automata in each cell acts as the brain of memeplex, and will determine the strategy of moti...