Ant colony optimization (ACO) algorithm is one of the most popular swarm-based algorithms
inspired by the behavior of an ant colony to find the shortest path for food. The multi …

In this paper we present a quasi-Newton's method for unconstrained multiobjective
optimization of strongly convex objective functions. Hence, we can approximate the Hessian …

A recommender system (RS) is a subcategory of an information filtering system that attempts
the prediction of the score or the importance given to an item by a user. RS has garnered the …

With the development of Internet and the make use of Internet for medical information, the
demand for huge scale and reliable managing medical information has brought out the huge …

This paper represents the Gravitational Search Algorithm (GSA) that can be used to
determine the optimal location and rating of Thyristor controlled Series Capacitor (TCSC) …

In this paper, we propose a spectral projected subgradient method with a 1-memory
momentum term for solving constrained convex multiobjective optimization problem. This …

Distribution system operators that seek operational excellence are supposed to design and
implement capable processes throughout their value stream and assess how well their real …

This paper presents the GSA method is used to determine the optimal locations and ratings
of TCPST. TCPST is the equipment used to regulate and improve the power flow on the …

This paper proposes a refined bacterial foraging algorithm (RBFA) for solving the multi-
objective based optimal power dispatch with optimal placement of distributed generation …

Optimal reactive power dispatch is one of most important task in the today's power system
operation. This paper present optimal reactive power dispatch with the help of differential …