This study presents three new hybrid artificial intelligence optimization models—namely,
adaptive neuro-fuzzy inference system (ANFIS) with cultural (ANFIS-CA), bees (ANFIS-BA) …

The evolutionary algorithm of invasive weed optimization algorithm popularly known as the
IWO has been used in this paper, to solve the unit commitment (UC) problem. This integer …

This paper proposes a hybrid Lagrangian relaxation (LR)-secant method-invasive weed
optimisation (IWO) for solving profit-based unit commitment (PBUC) problem. The PBUC …

Optimizing the order of thermal units for power generation plays a pivotal role in meeting
load demand while minimizing fuel consumption. This paper introduces an enhanced hybrid …

In this paper, Lagrangian Relaxation (LR)—Invasive Weed Optimization (IWO) has been
proposed to solve Profit Based Unit Commitment (PBUC). Lagrangian Relaxation (LR) is …

The Directional Overcurrent Relays (DOCRs) coordination in a large distribution network is a
highly constrained optimization problem. It is a challenging optimization task to discover the …

Proper calculation of splitting tensile strength (STS) of concrete has been a crucial task, due
to the wide use of concrete in the construction sector. Following many recent studies that …

Unit commitment (UC) problem is one of the most important decision making problems in
power system. In this paper the UC problem is solved by considering it as a real time …

Oxygen supply is a key parameter important for oxidization rate of pulp and the energy
consumption. Therefore, how to increase the use ratio of oxygen and reduce energy …

In the last decade nature-inspired Optimizers such as genetic algorithms (GAs), particle
swarm (PSO), ant colony (ACO), honey bees (HB), bacteria feeding (BFO), firefly (FF), bat …