Lexicographic multi-objective road pricing optimization considering land use and transportation effects

Compendious Lexicographic Method for Multi-objective Optimization

A modification of the standard lexicographic method, used for linear multiobjective optimization problems, is presented. An algorithm for solving these kind of problems is developed, for the cases of two and three unknowns. The algorithm uses the general idea of indicating the lexicographic order to objective functions, combined with the graphical method of linear programming. Implementation de...

Urban Land-Use Allocation By A Cell-based Multi-Objective Optimization Algorithm

Allocating urban land-uses to land-units with regard to different criteria and constraints is considered as a spatial multi-objective problem. Generating various urban land-use layouts with respect to defined objectives for urban land-use allocation can support urban planners in confirming appropriate layouts. Hence, in this research, a multi-objective optimization algorithm based on grid is pr...

Multi-objective optimization of multimodal transportation networks

Developing an urban congestion pricing model by considering sustainability improvement and using a multi-objective optimization approach

This paper introduces a Travel Demand Management (TDM) model in order to decrease the transportation externalities by affecting on passengers’travel choices. Thus, a bi-objective bi-modal optimization model for road pricing is developed aiming to enhance environmental and social sustainability by considering to minimize the air pollution and maximize the social welfare as its objectives. This m...

Dynamic Lexicographic Approach for Heuristic Multi-objective Optimization

This paper proposes a dynamic lexicographic approach to tackle multi-objective optimization problems. In this method, the ordering of objectives, which reflects their relative preferences, is changed in a dynamic fashion during the search. This approach eliminates the need for the decision-maker to establish fixed preferences among the competing objectives, which is often difficult. At the same...