most citedA Generalized Hybrid Real-Coded Quantum Evolutionary Algorithm Based on Particle Swarm Theory with Arithmetic Crossover

11 citations · 20 across the 6 of their papers we have counts for

collaborators

6 papers

cs.NE20131 cited

Solving Linear Equations Using a Jacobi Based Time-Variant Adaptive Hybrid Evolutionary Algorithm

A. R. M. Jalal Uddin Jamali, M. M. A. Hashem, Md. Bazlar Rahman

Large set of linear equations, especially for sparse and structured coefficient (matrix) equations, solutions using classical methods become arduous. And evolutionary algorithms ha…

cs.AI20134 cited

An Improved ACS Algorithm for the Solutions of Larger TSP Problems

Md. Rakib Hassan, Md. Kamrul Hasan, M. M. A. Hashem

Solving large traveling salesman problem (TSP) in an efficient way is a challenging area for the researchers of computer science. This paper presents a modified version of the ant…

cs.NE20133 cited

Evolutionary Design of Digital Circuits Using Genetic Programming

S. M. Ashik Eftekhar, Sk. Mahbub Habib, M. M. A. Hashem

For simple digital circuits, conventional method of designing circuits can easily be applied. But for complex digital circuits, the conventional method of designing circuits is not…

cs.DS2013

An Improved GEF Fast Addition Algorithm

Md. Mizanur Rahman, Md. Shahadat Hossain, Md. Rakib Hasan +1

In this paper, an improved GEF fast addition algorithm is proposed. The proposed algorithm reduces time and memory space. In this algorithm, carry is calculated on the basis of arr…

cs.NE201311 cited

A Generalized Hybrid Real-Coded Quantum Evolutionary Algorithm Based on Particle Swarm Theory with Arithmetic Crossover

Md. Amjad Hossain, Md. Kawser Hossain, M. M. A. Hashem

This paper proposes a generalized Hybrid Real-coded Quantum Evolutionary Algorithm (HRCQEA) for optimizing complex functions as well as combinatorial optimization. The main idea of…

cs.NE20131 cited

Distributed Evolutionary Computation: A New Technique for Solving Large Number of Equations

Moslema Jahan, M. M. A. Hashem, Gazi Abdullah Shahriar

Evolutionary computation techniques have mostly been used to solve various optimization and learning problems successfully. Evolutionary algorithm is more effective to gain optimal…