Abstract—In this paper we intend to formulate a new
metahueristic algorithm, called Open Source Development
Model Algorithm (ODMA), for solving optimization problem.
This algorithm inspired by open source development model
and communities, In such way that each potential solution
considered to be a software and by evolution the softwares,
we search for better solutions to the function that should
be optimized. The algorithm has two phases, initial phase
and evolution phase. The evolution phase consist of moving
to leading software, evolution of leading softwares is based
on their history and forking from the leading softwares. We
validate the proposed algorithm against benchmark function
and then compare its performance with both of GA and PSO
algorithms And according to results, we can see that the ODMA
is much more efficient in finding the global optima and better
accuracy than GA and PSO.
کلید واژگان :
Keywords-Optimization; metaheuristics;evolutionary algo- rithm; swarm intelligenc;Open Source Development Model;
