Many optimisation problems are dynamic in the sense that changes occur during the optimisation process, and therefore are more challenging than the stationary problems. To solve dynamic optimisation problems, the proposed approaches should not only attempt to seek the global optima but be able to also keep track of changes in the track record of landscape solutions. In this research work, one o...

In this paper, a simple Neural controller has been used to achieve stable walking in a NAO biped robot, with 22 degrees of freedom that implemented in a virtual physics-based simulation environment of Robocup soccer simulation environment. The algorithm uses a Matsuoka base neural oscillator to generate control signal for the biped robot. To find the best angular trajectory and optimize network...

The proposed work aims to acquire the maximum number of non-linear assemblies with closer assembly tolerance specifications by mating different bins’ components. Before that, components are classified based on range values and grouped into bins. Further, manufacturing process is selected from given known alternative processes. It incredibly tedious obtain best combinations bins together. Hence,...

The power system continuously deals with frequency fluctuations. When a disturbance occurs, the transmission operators rely on underfrequency load shedding (UFLS) scheme to address severe (UF) events maintain at permissible level and prevent blackouts. Defining settings of conventional UFLS is very complex problem due nonlinear nature response, size vast because number UF-relays spread system. ...

In this study, a seismic isolator placed on the base of structure was optimized under various earthquake records using an adaptive harmony search algorithm (AHS). As known, base-isolation systems with very low stiffness provide rigid response superstructure, so it assumed that is and base-isolated can be considered as single-degree freedom structure. By assumption, optimization method independe...