This paper presents a comparative study of Ant Colony and Genetic Algorithms for VLSI circuit bi-partitioning. Ant colony optimization is an optimization method based on behaviour of social insects [27] whereas Genetic algorithm is an evolutionary optimization technique based on Darwinian Theory of natural evolution and its concept of survival of the fittest [19]. Both the methods are stochasti...

This paper presents an application of the ant colony metaphor for continuous space optimization problems. The ant algortihm proposed works following the principle of the ant colony approach, i.e., a population of agents iteratively, cooperatively, and independently search for a solution. Each ant in the distributed algorithm applies a local search operator which explores the neighborhood region...

Ant miner is a data mining algorithm based on Ant Colony Optimization (ACO). Ant miner algorithms are mainly for discovery rule for optimization. Ant miner + algorithm uses MAX-MIN ant system for discover rules in the database. Soil classification deals with the systematic categorization of soils based on distinguished characteristics as well as criteria. The proposed model delivers to Ant mine...

End-to-end obstacle avoidance path planning for intelligent vehicles has been a widely studied topic. To resolve the typical issues of solving algorithms, which are weak global optimization ability, ease in falling into local and slow convergence speed, an efficient method is proposed this paper, based on whale algorithm. We present adaptive adjustment mechanism can dynamically modify search be...

Frequency regulation of low inertia symmetric micro grids with the incorporation asymmetric renewable sources such as solar and wind is a challenging task. Virtual Inertia Control (VIC) idea increasing grids’ by energy storage systems. In current study, an adaptive fuzzy PID structure derivative filter (AFPIDF) controller suggested for VIC grid sources. To optimize proposed controllers, modifie...

Gearbox oil temperature is one of the important indicators for gearbox condition monitoring and faults early warning. Accurately predicting change trend can maintain in advance ensure safety reliability wind turbine gearbox. The purpose this article to analyze supervisory control data acquisition (SCADA) turbines. A method based on multi-input improved ant lion optimization support vector regre...

Several problems have been solved by nonlinear equation systems (NESs), including real-life issues in chemistry and neurophysiology. However, the accuracy of solutions is highly dependent on efficiency algorithm used. In this paper, a Modified Sperm Swarm Optimization Algorithm called MSSO introduced to solve NESs. combines Newton’s second-order iterative method with (SSO). Through combination,...