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 ...

Unit commitment (UC) is a optimization task planning operation in power system and is done by scheduled the generating units in on/off states. The UC problem is to minimize system total operating cost to meet forecasting load and reserve requirement while adhering to generator and transmission constraints to satisfy a given security level. The capability of using load, energy sources and energy...

Single-period problem (SPP) is a classical stochastic inventory model that has become very popular recently. In this research, we developed a SPP with fuzzy environment. The demand of each product is considered as LR-fuzzy variables (ranking fuzzy numbers based on the left and right deviation degrees), and multiple constraints (including service level, batch order, budget, space and upper limit...

Many optimisation problems are dynamic in the sense that changes occur during the optimisation process, and therefore are more challenging than the stationary problems. To solve dynamic optimisation problems, the proposed approaches should not only attempt to seek the global optima but be able to also keep track of changes in the track record of landscape solutions. In this research work, one o...

The complex relationship of networks of information that exist on the web and in modem computer systems requires advanced link-analysis capabilities in order to make sense of the deluge of data. Applications are emerging which use "intelligent agents" to gather data, however, they are rarely more than specially tuned search engines with the goal of gathering individual’s purchasing and chat pro...

This article explores the role for intelligent agents in “reuse supported problem soving” in general, and in software reuse repositories in particular. As reuse repositories grow in size and extent, the “traditional” browse and surf mode becomes less effective, and simple search agents alone are not the answer. This article postulates a human information processing model of reuse supported prob...

Optimized utilization of resources is the need of the hour in any manufacturing system. A properly planned schedule is often required to facilitate optimization. This makes scheduling a significant phase in any manufacturing scenario. The Job Shop Scheduling Problem is an operation sequencing problem on multiple machines with some operation and machine precedence constraints, aimed to find the ...

Naturally occurring phenomenon serves as an unbiased guide for solving various optimization problems. This paper compiles some of the population-based, stochastic optimization algorithms including the recently developed social impact theory based optimizer, SITO. The current state of research, including the natural phenomena followed by each and some of their applications to solve various optim...

This paper addresses the application of Self-adaptive Global Best Harmony Search (SGHS) algorithm for the supervised training of feed-forward neural networks (NNs). A structure suitable to data representation of NNs is adapted to SGHS algorithm. The technique is empirically tested and verified by training NNs on two classification benchmarking problems. Overall training time, sum of squared err...