My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...

Abstract: The last four decades have witnessed the birth and growth of neurodynamic optimization with numerous recurrent neural networks developed for solving various constrained optimization problems ...

This paper presents a novel approach to the joint optimization of job scheduling and data allocation in grid computing environments. We formulate this joint optimization problem as a mixed integer ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...

Business analytics with: optimization models / linear programming / non-linear programming / integer programming / goal programming / transportation modeling simulation / Marketing analytics with: ...

The four-year-old startup founded by three Finns is already used by fellow startups like Cohere, Ramp and Runway. It’s now valued at about $400 million as it makes a big-business push. Other startups ...

I was 5 or 6 when I got my first sense of the joys of computer programming. This was in the early 1980s, when few people had a computer. One day, my dad brought home a Sinclair ZX Spectrum, one of the ...

Solve linear optimization problems including minimization and maximization with simplex algorithm. Uses the Big M method to solve problems with larger equal constraints in Python ...