Swarm Intelligence algorithm family is a widespread tool to solve optimization problems occurring in various areas of computer science and data processing. Nevertheless, the majority of existing solutions are software-based. On the other hand, the very essence of independent agents predisposes to hardware implementation employing parallel calculations. Field Programmable Gate Array (FPGA) is the perfect platform to implement such system. Particle Swarm Optimization hardware implementation using FPGA made by Intel FPGA (formerly Altera) is described in this paper. Both genuine parallel and sequential schemes are considered, as well as different approaches regarding arithmetic operations.