The optimization of infrastructure planning in a multimodal network is defined as a multiobjective network design problem, with accessibility, use of urban space by parking, operating deficit and climate impact as objectives. Decision variables are the location of park and ride facilities, train stations and the frequency of public transport lines. For a case study the Pareto set is estimated b...

This paper describes a scalable algorithm for solving multiobjective decomposable problems by combining the hierarchical Bayesian optimization algorithm (hBOA) with the nondominated sorting genetic algorithm (NSGA-II) and clustering in the objective space. It is first argued that for good scalability, clustering or some other form of niching in the objective space is necessary and the size of e...

Controllers design problems are multi objective optimization problems as the controller must satisfy several performance measures that are often conflicting and competing with each other. In multi-objective approach a set of solutions can be generated from which the designer can select a final solution according to his requirement and need. This paper presents the design and analysis Proportion...

in this paper, a non-dominated sorting genetic algorithm-ii (nsga-ii) based approach is presented for distribution system reconfiguration. in contrast to the conventional ga based methods, the proposed approach does not require weighting factors for conversion of multi-objective function into an equivalent single objective function. in order to illustrate the performance of the proposed method,...

Cooperative coevolutionary evolutionary algorithms differ from standard evolutionary algorithms architecture in that the population is split into subpopulations, each of them optimising only a subvector of the global solution vector. All subpopulations cooperate by broadcasting their local partial solutions such that each subpopulation can evaluate complete solutions. Cooperative coevolution ha...

This paper summarizes the implementation and performance of Nondominated Sorting Genetic algorithm (NSGA-II) [2] for feature selection of remotely sensed hyperspectral imagery. Two step processes have been followed. In first step, a feature subset is selected with optimum spectral and texture information content resulting in a smaller space to be searched in the next step. In the second step, a...

This paper proposes a bi-objective model for the facility location problem under a congestion system. The idea of the model is motivated by applications of locating servers in bank automated teller machines (ATMS), communication networks, and so on. This model can be specifically considered for situations in which fixed service facilities are congested by stochastic demand within queueing frame...

Countries need robust long-term plans to keep up with the global pace of transitioning from pollutant fossil fuels towards clean, renewable energies. Renewable energy generation expansion can be either centralized, decentralized, or a combination these two. This paper presents novel approach obtain an optimal multi-period plan for generating each type (solar, wind, hydro, geothermal, and biomas...