To support decision-making on a community level, an efficient multi-objective decision-making framework is proposed considering risk, resilience, and sustainability performance objectives. The methodology makes use of performance-based assessment, surrogate-based multi-objective evolutionary optimization, and utility decision theory to evaluate and enhance community performance considering pre-earthquake mitigation alternatives. The framework consists of three main parts including performance-based assessment, surrogate-based optimization, and decision-making. The first part is utilized to assess the consequences of considered hazard scenario given mitigation alternatives. Then, the consequences are utilized as performance objectives in the second part to develop Pareto-optimal solutions. The Pareto-optimal solutions are converted into performance scores by utilizing utility decision theory-based multi-criteria decision-making. The proposed methodology is illustrated in a mid-size modern community with buildings of various structural configurations, code compliances, and functionality. The socioeconomic and environmental consequences of design earthquake scenario is assessed and Pareto-optimal solutions considering mitigation alternatives are presented along with the performance scores to illustrate the proposed methodology.