Application of Shuffled Frog Leaping Algorithm in Software Project Scheduling

Abstract

Nature inspired intelligent algorithms is moderately a new research paradigm that offers novel stochastic search techniques for solving many complex optimization problems. These techniques mimic the social and natural behavior of vertebrates. The basic idea behind modeling of such techniques is to achieve near optimum solutions to the large scale and complex optimization problems which can't be solved using traditional or gradient based mathematical techniques. Here our focus is on the problems of optimization in software engineering design process. Quality Software is a sturdy foundation of Information Technology (IT) and developing the tactical competence among nationalities. It has been experienced that the working and life style is changed drastically with the emergence of Software. This chapter concentrates on Shuffled Frog Leaping Algorithm (SFLA) and employed to solve Software Project Scheduling (SPS) Problem. SPS is classified as a NP-hard problem with largely complex combinatorial optimization constraints.