Sen Bong Gee

  • Citations Per Year
Learn More
Convergence and diversity are two crucial issues in evolutionary multiobjective optimization. To enhance the diversity property of Multiobjective Evolutionary Algorithm (MOEA), a novel selection method is implemented on decomposition-based MOEA (MOEA/D). The selection method incorporates the concept of maximum diversity loss, which quantifies the diversity(More)
Vehicle routingproblemwith stochastic demands (VRPSD) is a famous and challenging optimization problem which is similar to many real world problems. To resemble the real world scenario, total traveling distance, total driver remuneration, the number of vehicles used and the difference between driver remuneration are considered and formulated in the(More)
Evolutionary multiobjective optimization in dynamic environments is a challenging task, as it requires the optimization algorithm converging to a time-variant Pareto optimal front. This paper proposes a dynamic multiobjective optimization algorithm which utilizes an inverse model set to guide the search toward promising decision regions. In order to reduce(More)
Growing trend of the dynamic multiobjective optimization research in the evolutionary computation community has increased the need for challenging and conceptually simple benchmark test suite to assess the optimization performance of an algorithm. This paper proposes a new dynamic multiobjective benchmark test suite which contains a number of component(More)
Vehicle Routing Problem (VRP) is a famous combinatorial optimization problem and it has been extended to a multi-objective optimization perspective. This paper targets solving VRP with stochastic demand (VRPSD) under the constraints of available time window and vehicle capacity. The objective of the problem is to simultaneously minimize total travelling(More)
  • 1