This study aims to built model in the utilization of sustainable public open space for community in Jakarta. The existence of open space, espsesially as public functions needed for the community of Jakarta. The less avaibility and higher cost of the land in Jakarta cause a need for public open space in particular as a function of the general public to be neglected.
The high density of Jakarta, the capital of Indonesia, has increased complexity of the problems. Salemba Raya Street, No.7 Jakarta, Indonesia Sustainable Public Open Space Model in Residential and City Area, JakartaĪrchitecture Department, Universitas Persada of Indonesia YAI, Result indicates that the proposed algorithm significant in term quality of non-dominated solution compared to the other algorithm in the literature. The effectiveness and efficiency of the proposed MPSO algorithm is applied for two benchmark set. MPSO is significant to global search and SA used to local search. Pareto front and crowding distance used for to identify the fitness of particle in proposed algorithm. A hybrid multi-objective PSO (MPSO) and SA algorithm proposed to identify an approximation of the Pareto front for Flexible job shop scheduling (FJSSP). The hybrid algorithm combines the high global search efficiency of PSO with the powerful ability to avoid being trapped in local minimum of SA. Rescheduling strategy used for shuffle workload once machine breakdown in proposed algorithm.
Multi-objective particle swarm optimization for flexible job shop scheduling problemĭepartment of CSE, Rajarambapu Institute of Technology, Islampur(Sangli), MS, IndiaĪbstract— In this paper, an effective hybrid algorithm based on Particle Swarm Optimization (PSO) and Simulated Annealing (SA) is proposed for solving Flexible Job Shop Scheduling with five objectives to be minimized simultaneously: makespan, maximal machine workload, total workload, machine idle time, total tardiness.
0 kommentar(er)
