CONGESTION MANAGEMENT IS ONE OF THE BASIC TASKS PERFORMED BY SYSTEM OPERATORS TO ENSURE THE OPERATION OF TRANSMISSION SYSTEM WITHIN OPERATING LIMITS. IN THIS RESearch, STRENGTH PARETO Gravitational Search Algorithm (SPGSA) IS USED TO OPTIMUM MANAGEMENT OF A DISTRIBUTED NETWORK CONGESTION FOR RAISE EFFICIENCY, INCREASE SAFETY MARGINS AND REDUCE COST OF DISTRIBUTION NETWORK UNIT PRODUCTION REGARDING TO PRACTICAL CONSTRAINTS SUCH AS MAXIMUM NETWORK VOLTAGE, MAXIMUM TRANSMISSION LINE CURRENT, POWER BALANCE AND LOAD LEVEL. ACTUALLY NOWADAYS, VIOLATIONS OF DISTRIBUTION NETWORK CONSTRAINTS AS; LIMIT OF POWER TRANSMISSION LINES, BUS VOLTAGES AND OTHER PRACTICAL CONSTRAINTS, ARE ONE OF THE MOST IMPORTANT ISSUES IN ELECTRICAL ENERGY IN RECONSTRUCTION SYSTEMS CONTRACT. THE EFFECTIVENESS OF THE PROPOSED TECHNIQUE WHICH IS BASED ON COLLECTIVE INTELLIGENCE IS APPLIED ON 30 AND 118 BUS IEEE STANDARD POWER SYSTEM IN COMPARISON WITH CPSO, PSO-TVAC AND PSO-TVIW. THE NUMERICAL RESULTS DEMONSTRATE THAT THE PROPOSED TECHNIQUE IS BETTER AND SUPERIOR THAN OTHER COMPARED METHODS.