This paper proposes a hybrid harmony search algorithm that incorporates method of reinitializing harmonies memory using particle swarm optimization with an improved opposition-based learning (IOBL) to solve continuous problems. allows the obtain better results by increasing space solutions. approach has been validated comparing performance proposed state-of-the-art algorithm, solving fifteen st...

Due to the fact that the error surface of adaptive infinite impulse response (IIR) systems is generally nonlinear and multimodal, the conventional derivative based techniques fail when used in adaptive identification of such systems. In this case, global optimization techniques are required in order to avoid the local minima. Harmony search (HS), a musical inspired metaheuristic, is a recently ...

With the growing impact of power regulators, machines, and other electronic devices on quality utility electric service, harmonics has recently emerged as a major research topic in area energy consumption. In this work, fuzzy intelligent inductor–capacitor–inductor hybrid filter is designed to reduce distribution line. The shunt active passive design consideration have been improved. Since natu...

In this paper, a novel Harmony Search algorithm (HSA) based approach for robust and optimal design of PID controller connected to power system stabilizer (PSS) is proposed for damping low frequency power oscillations of a single machine infinite bus bar (SMIB) power system. This paper attempts to optimize the three parameters (Kp, Ki, Kd) of PID-PSS via a music-based metaheuristic optimization ...

The lifetime of wireless sensor networks could be extended and it could cover all targets is based on memetic algorithm approach. Darwinian evolutionary and Lamarckian enhancement uses memetic algorithm. This algorithm also gives better solution than any other algorithms. Many Task Assignment Problems(TAP) and particle swarm optimization techniques formulated this harmony search algorithm. The ...