-Research writing with Implementation, PSO, DE, Neural network etc My Work: Differential evolution is a nature-inspired optimization technique. It has achieved best solutions on large area of test suits. DE algorithm is efficient in programming and it has broad applicability in engineering. This paper presents modified mutation vector generation strategy of basic DE for solving stagnation problem. A new variant of differential evolution that is DE_New has been proposed and the performance of DE_New is tested on Comparing Continuous Optimisers (COCO) framework composed of 24 benchmark functions and found DE_New has better exploration capability inside the given search space in comparison to GA, DE-PSO, DE-AUTO on Black-Box Optimization Benchmarking (BBOB) 2015 devised by COCO.