In this paper, a hybrid meta-heuristic algorithm based on Harris Hawk Optimization (HHO) and Particle Swarm (PSO) is developed used to design castellated beams. The total cost, including material construction costs, taken as the objective function, code requirements geometry limitations have been considered in constraint functions. proposed method obtain optimal solution of three examples. then...

This study is investigated the optimum parameters for a tuned mass damper (TMD) under the seismic excitation. Shuffled complex evolution (SCE) is a meta-heuristic optimization method which is used to find the optimum damping and tuning frequency ratio for a TMD. The efficiency of the TMD is evaluated by decreasing the structural displacement dynamic magnification factor (DDMF) and acceleration ...

The Teaching-Learning-Based Optimization (TLBO) algorithm is a new meta-heuristic algorithm which recently received more attention in various fields of science. The TLBO algorithm divided into two phases: Teacher phase and student phase; In the first phase a teacher tries to teach the student to improve the class level, then in the second phase, students increase their level by interacting amon...

This chapter introduces and overviews an emerging methodology in search and optimisation. One of the key aims of these new approaches, which have been termed hyper-heuristics, is to raise the level of generality at which optimisation systems can operate. An objective is that hyper-heuristics will lead to more general systems that are able to handle a wide range of problem domains rather than cu...

The timetabling problem is common to academic institutions such as schools, colleges or universities. It a very hard combinatorial optimisation which attracts the interest of many researchers. university course (UCTTP) difficult address due size and several challenging soft constraints. Over years, various methodologies were proposed solve UCTTP. purpose this survey paper provide most recent sc...