There are two significant issues with the incorporation of smart grid technology in power system operating studies including economic emission, unit commitment problem (UCP). Economic dispatch (EDP) is a UCP sub-problem which find optimum output for given combination running units. When using electro-energy systems to strategically distribute produced by all plants, especially important. Pumped...

This study introduces an effective population-based optimization algorithm, namely the Golden Search Optimization Algorithm (GSO), for numerical function optimization. The new algorithm has a simple but strategy solving complex problems. GSO starts with random possible solutions called objects, which interact each other based on mathematical model to reach global optimum. To provide fine balanc...

The heap-based optimizer (HBO) is an innovative meta-heuristic inspired by human social behavior. In this research, binary adaptations of the B_HBO are presented and used to determine optimal features for classifications in wrapping form. addition, HBO balances exploration exploitation employing self-adaptive parameters that can adaptively search solution domain solution. feature selection doma...

Main contribution of this work is improving transient stability by installing Flexible AC Transmission System (FACTS) in power systems. For do this, Unified Power Flow Controller (UPFC) has been selected. Also a novel structure has been suggested to improve classic Harmony Search algorithm and suggested improved Harmony Search (iHS) algorithm. This algorithm has been used to obtain UPFC paramet...

The main aim of the present study is to propose a modified harmony search (MHS) algorithm for size and shape optimization of structures. The standard harmony search (HS) algorithm is conceptualized using the musical process of searching for a perfect state of the harmony. It uses a stochastic random search instead of a gradient search. The proposed MHS algorithm is designed based on elitism. In...

For this paper, we explored the implementation of the cuckoo search algorithm applied to the capacitated vehicle routing problem. The cuckoo search algorithm was implemented with Lévy flights with the 2-opt and double-bridge operations, and with 500 iterations for each run. The algorithm was tested on the problem instances from the Augerat benchmark dataset. The algorithm did not perform well o...