Optimisation problems occur in many situations and aspects of modern life. In reality, many of these problems are dynamic in nature, where changes can occur in the environment that influence the solutions of the optimisation problem. Many methods use a weighted average approach to the multiple objectives. However, generally a dynamic multi-objective optimisation problem (DMOOP) does not have a ...

This paper deals with the tuning of parameters for Automatic Generation Control (AGC). A two area interconnected hydrothermal system with PI controller is considered. Genetic Algorithm (GA) and Particle Swarm optimization (PSO) algorithms have been applied to optimize the controller parameters. Two objective functions namely Integral Square Error (ISE) and Integral of Time-multiplied Absolute v...

This paper deals with the tuning of parameters for Automatic Generation Control (AGC). A two area interconnected hydrothermal system with PI controller is considered. Genetic Algorithm (GA) and Particle Swarm optimization (PSO) algorithms have been applied to optimize the controller parameters. Two objective functions namely Integral Square Error (ISE) and Integral of Time-multiplied Absolute v...

This paper presents an efficient and reliable Particle Swarm Optimization (PSO) algorithm for solving Reactive power optimization including voltage deviation in Power System. Voltage deviation is the capability of a power system to maintain up to standard voltages at all buses in the system under standard conditions and under being subjected to a disturbance. Reactive power optimization is a co...

This paper presents an algorithm of particle swarm optimization with reduction for global optimization problems. Particle swarm optimization is an algorithm which refers to the collective motion such as birds or fishes, and a multi-point search algorithm which finds a best solution using multiple particles. Particle swarm optimization is so flexible that it can adapt to a number of optimization...

Abstract Grid-integrated wind-solar and hydrogen storage coupling power generation systems face problems such as high costs of investment, construction, operation, maintenance. After the conformity renewable energy, system’s dependability decreases, comprehensive fluctuation influences grid greatly. To solve above problems, this paper proposes a two-tier model. With system economy, reliability,...

this paper presents a relatively new management model for the optimal design and operation of irrigation water pumping systems. the model makes use of the newly introduced particle swarm optimization algorithm. a two step optimization model is developed and solved with the particle swarm optimization method. the model first carries out an exhaustive enumeration search for all feasible sets of p...

1. Abstract This study proposes the improvement method of computational efficiency for the hybrid-type multiobjective particle swarm optimization method (MOPSO) that the authors developed for the reliability-based multiobjective optimization (RBMO). The hybrid MOPSO integrates the constraint satisfaction technique using gradient information of constraints with a concept of the single-loop-singl...

Sensors play an important role in monitoring, detecting, recording and the physical environmental conditions of a particular place. These mainly include temperature, sound, wind, etc. nodes are connected to each other via transmission channel battery-operated. So, energy efficient algorithms needed reduce consumption overall setup increase lifetime sensor nodes. In this paper, we propose method...

Al-Mg-based composite is used in producing a variety of components. To improve the machinability composite, MoS2 added. For characterizing machining different wt.% (2, 4, and 6) are added as reinforcement. Wire Electrical Discharge Machining (WEDM) process performed to analyze kerf width surface roughness. Due complex nature WEDM process, necessity for its optimization through use innovative me...