Emergency resource dispatch plays a significant role in the occurrence of emergency
events. An efficient schedule solution not only can deliver the required resources in time, but …

After unconventional events occur, rapid emergency response is often needed in order to
reduce losses. When there are more than one disaster points and more than one supply …

Efficient emergency material dispatch, amid the aftermath of an emergency event, can help
control the spread of the disaster and reduce disaster losses. Herewith, we propose a model …

The abstract should summarize the contents of the paper in short terms, ie, 150–250 words.
This paper proposes a rational multi-objective particle swarm algorithm (RMOPSO) for …

This paper presents a new multiobjective particle swarm optimization (MOPSO) technique to
solve environmental/economic dispatch (EED) problem. The EED problem is a non-linear …

In this paper, we propose a new bare-bones multi-objective particle swarm optimization
algorithm to solve the environmental/economic dispatch problems. The algorithm has three …

Considering the decision making problem of emergency supplies dispatching for major
natural disasters, we propose a multi-objective optimal emergency dispatching model …

The economic dispatch (ED) problem aims to minimize the total generation cost while
satisfying certain constraints, such as valve-point effects, multi-fuel options, prohibited …

ABSTRACT∗ Thermal power generation will consume a lot of fossil fuels, which results in a
sharp rise in economic costs. At the same time, it will also produce some gases and pollute …

The classical multiobjectve optimization algorithm is difficult to achieve high quality feasible
solutions on Multiobjectve Dynamic Environment/Economic Dispatch (MODEED) model, and …