This paper presents the use of the improved harmony search method for solving economic load dispatch problems. The harmony search method mimics a jazz improvisation process by musicians in order to seek a fantastic state of harmony. To assess the searching performance of the proposed method, a six-unit thermal generating system acquired from the standard IEEE 30-bus test system was challenged. ...

This paper proposes a Pareto-based grouping discrete harmony search algorithm (PGDHS) to solve the multi-objective flexible job shop scheduling problem (FJSP). Two objectives, namely the maximum completion time (makespan) and the mean of earliness and tardiness, are considered simultaneously. Firstly, two novel heuristics and several existing heuristics are employed to initialize the harmony me...

Markowitz cardinality constraint mean-variance (MCCMV) model is a well studied and important one in the portfolio optimization literature. It is formulated as mixed integer quadratic programming problem (MIQP) which belongs to class of NP-hard problems, thus various heuristic and meta-heuristic algorithms are applied to solve it. In this paper, two modified versions of particle swarm optimizati...

In this paper, we aim to analyze the performance of some variants of the harmony search (HS) metaheuristic when solving systems of nonlinear equations through the global optimization of an appropriate merit function. The HS metaheuristic draws its inspiration from an artistic process, the improvisation process of musicians seeking a wonderful harmony. A new differential best HS algorithm, based...

Agile Software development methodology is most emerging in software development, there has been a significant contribution from many researchers towards estimating the size, cost, schedule, effort and duration. However, the approaches reported in the literature lack in considering the evolution of biological systems for better optimization in agile. Here Agile Estimation Plan method determines ...

Due to its significance in the operation of power systems, optimal flow (OPF) problem has attracted increasing interest with introduction smart grids. Optimal developed as a crucial instrument for resource planning effectiveness well enhancing performance electrical networks. Transmission line losses, total generation costs, FACTS (flexible alternating current transmission system) voltage devia...

We consider optimization problems where the objective function is defined over some continuous and some discrete variables, and only noise corrupted values of the objective function are observable. Such optimization problems occur naturally in PAC learning with noisy samples. We propose a stochastic learning algorithm based on the model of a hybrid team of learning automata involved in a stocha...

the ultimate purpose in designing a curriculum should be to have an organized system of what is to be learned when an area of study is identified. the curriculum development should be designed in such a way that even the beginners are able to get a complete idea of the subject over a period of time on learning it. the curriculum should be as of that it should make him/her to get involved in kno...

The potential of four different neuro-fuzzy embedded meta-heuristic algorithms, particle swarm optimization, genetic algorithm, harmony search, and teaching–learning-based optimization was investigated in this study estimating the water quality Yamuna River Delhi, India. A cross-validation approach employed by splitting data into three equal parts, where models were evaluated using each part. m...