Multiple classifier system exhibits strong classification capacity compared with single classifiers, but they require significant computational resources. Selective ensemble aims to attain equivalent or better accuracy fewer classifiers. However, current methods fail identify precise solutions for constructing an classifier. In this study, we propose design technique based on the perturbation b...

The accurate prediction of electricity-heat-cooling-gas loads on the demand side in integrated energy system (IES) can provide significant reference for multiple planning and stable operation IES. This paper combines multi-task learning (MTL) method, Bootstrap improved Salp Swarm Algorithm (ISSA) multi-kernel extreme machine (MKELM) method to establish uncertain interval model loads. ISSA intro...

This paper presents a new methodology to simultaneously solve the optimal conductor selection and phase-balancing problems in unbalanced three-phase distribution systems. Both were represented by means of mathematical model known as Mixed-Integer Nonlinear Programming (MINLP) model, objective function was minimization total annual operating costs. The latter included costs associated with energ...

During these years the current trends shows a fast expansion in field of wireless sensor network (WSN) based applications. Due to this much vulnerability are created and also coverage optimization becomes essential improve overall performance. However, maximum model concentrates only on security or efficiency. In order create highly efficient protocol both concepts need get concerted. So, we de...

Contemporarily, the development of distributed generations (DGs) technologies is fetching more, and their deployment in power systems becoming broad diverse. Consequently, several glitches are found recent studies due to inappropriate/inadequate penetrations. This work aims improve reliable operation system employing reliability indices using a metaheuristic-based algorithm before after DGs pen...

In this paper, a novel swarm intelligent algorithm is proposed called ant nesting (ANA). The inspired by Leptothorax ants and mimics the behavior of searching for positions to deposit grains while building new nest. Although swarming ants, it does not have any algorithmic similarity with colony optimization (ACO) algorithm. It worth mentioning that ANA considered continuous updates search agent...

The advancement in technology has proceeded exceptionally that the stability of power system becomes a major challenge. mismatch generation and demand creates frequency perturbation need to be curbed under limits avoid breakdown. Owing this, paper focuses counter ever-increasing challenges much like load fault disruption causes deterioration A novel master-slave (MS) control design is formulate...

Predicting the mechanical strength of structural elements is a crucial task for efficient design buildings. Considering shortcomings experimental and empirical approaches, there growing interest in using artificial intelligence techniques to develop data-driven tools this purpose. In research, empowered machine learning was employed analyze axial compression capacity (CC) circular concrete-fill...