A Double Evolutionary Learning Moth-Flame Optimization for Real-Parameter Global Optimization Problems

Evolutionary Algorithms for Constrained Parameter Optimization Problems

Evolutionary computation techniques have received a lot of attention regarding their potential as optimization techniques for complex numerical functions. However, they have not produced a signi cant breakthrough in the area of nonlinear programming due to the fact that they have not addressed the issue of constraints in a systematic way. Only recently several methods have been proposed for han...

A Decoder-Based Evolutionary Algorithm for Constrained Parameter Optimization Problems

Several methods have been proposed for handling nonlinear constraints by evolutionary algorithms for numerical optimization problems; a survey paper [7] provides an overview of various techniques and some experimental results, as well as proposes a set of eleven test problems. Recently a new, decoder-based approach for solving constrained numerical optimization problems was proposed [2, 3]. The...

A Computationally EÆ ient Evolutionary Algorithm for Real-Parameter Optimization

A Computationally Efficient Evolutionary Algorithm for Real-Parameter Optimization

Due to increasing interest in solving real-world optimization problems using evolutionary algorithms (EAs), researchers have recently developed a number of real-parameter genetic algorithms (GAs). In these studies, the main research effort is spent on developing an efficient recombination operator. Such recombination operators use probability distributions around the parent solutions to create ...

Maximum Power Point Tracker for Photovoltaic Systems Based on Moth-Flame Optimization Considering Partial Shading Conditions

The performance of photovoltaic (PV) systems is highly dependent on environmental conditions. Due to probable changes in environmental conditions, the real-time control of PV systems is essential for exploiting their maximum possible power. This paper proposes a new method to track the maximum power point of PV systems using the moth-flame optimization algorithm. In this method, the PV DC-DC co...