the present study is concerned with the simultaneous optimization of the size of components and the arrangement of connections for performance-based seismic design of low-rise spsws. design variables include the size of beams and columns, the thickness of the infill panels, the type of each beam-to-column connection and the type of each infill-to-boundary frame connection. the objective functio...

A new Meta heuristic approach called ”Randomized gravitational emulation search algorithm (RGES)” for solving vertex covering problems has been designed. This algorithm is found upon introducing randomization concept along with the two of the four primary parameters ’velocity’ and ’gravity’ in physics. A new heuristic operator is introduced in the domain of RGES to maintain feasibility specific...

A new Meta heuristic approach called ”Randomized gravitational emulation search algorithm (RGES)” for solving large size set covering problems has been designed. This algorithm is found upon introducing randomization concept along with the two of the four primary parameters ’velocity’ and ’gravity’ in physics. A new heuristic operator is introduced in the domain of RGES to maintain feasibility ...

Test Effort Estimation is an important activity in software development. The test effort can be calculated on the basis of effort cost and time required for testing. Several studies have been done for developing test effort estimation models but to some extent only, most of these models result in erroneous results. So there is a strong need to optimize the efforts estimated. Meta heuristic tech...

Stochastic local search algorithms are proved to be one of the most effective approach for computing approximate solutions of hard combinatorial problems. Most of them are based on a typical randomness related to some uniform distributions for generating initial solutions. Particularly, Extremal Optimization is a recent meta-heuristic proposed for finding high quality solutions to hard optimiza...

Stochastic nature of earthquake has raised a challenge for engineers to choose which record for their analyses. Clustering is offered as a solution for such a data mining problem to automatically distinguish between ground motion records based on similarities in the corresponding seismic attributes. The present work formulates an optimization problem to seek for the best clustering measures. In...

This paper uses an ant colony meta-heuristic optimization method to solve the cost-optimization problem in petrolum industry. This problem is known as total investment-cost minimization of series-parallel transportation pape lines. Redundant Electro-Pumpe coupled to the papes lines are included to achieve a desired level of availability. System availability is represented by a multi-state avail...

Biogeography-Based Optimization (BBO) has recently gained interest of researchers due to its simplicity in implementation, efficiency and existence of very few parameters. The BBO algorithm is a new type of optimization technique based on biogeography concept. This population-based algorithm uses the idea of the migration strategy of animals or other species for solving optimization problems. t...