The　constraint　optimization　aims　to　find　optimum　points　that　satisfy　equality　or　inequality　constraints.　In　some　cases,　one　or　several　constraints　at　the　＂optimum　points＂,　which　are　obtained　through　solving　the　optimization　problems,　might　be　violated,　or　the　maximum　value　among　all　of　the　constraints　might　be　much　less　than　the　target　constraint　bound.　In　terms　of　these　issues,　this　paper　provided　an　adaptive　constraint　bounds　adjustment　approach,　which　was　implemented　in　each　iteration　while　seeking　optimality.　The　constraint　bounds　of　the　iterative　model　were　adjusted　dynamically,　and　the　constraint　that　had　the　maximum　value　among　all　constraints,　was　turned　into　an　equality　constraint.　Therefore,　the　iterative　solutions　were　always　in　feasible　ranges,　and　no　constraints　were　violated　at　the　converged　solution.　This　approach　was　implemented　successfully　on　structural　topology　optimization　of　minimum　weight　with　displacement　constraints.　The　cases　of　the　constraints　unsatisfied　before　using　the　proposed　approach　were　satisfied　after　using　it　and　the　constraint　violation　issues　were　addressed.