Multimodal optimization is used to find multiple global & local optima which is very useful in many real world optimization problems. But often evolutionary algorithms fail to locate multiple optima as required by the system. Also they fail to store those optima by themselves. So we have to use other selection scheme that can detect & store multiple optima along with evolutionary algorithms. He...

Information-theory provides, among others, conceptual methods to quantify the amount of information contained in single random variables and methods to quantify the amount of information contained and shared among two or more variables. Although these concepts have been successfully applied in hydrology and other fields, the evaluation of these quantities is sensitive to different assumptions i...

Canada thistle is the most invasive and challenging weed in grazing systems in the Upper Midwest (Doll, personal observation) and its membership on the noxious weed lists of many states demonstrates its tenacity against conventional control tactics. The resilience of this weed can be credited to its ability to effectively reproduce through both seed production/dispersal and its extensive root s...

Providing appropriate home health care is one of the increasing concerns in organizations. Home Health Care provides various services for disabled or elderly individuals at their homes. Also, deal with current critical situation coronavirus disease (COVID-19) due to limited capacity hospitals and feeling insecurity crowded places, more recommended. This paper addresses a Routing Scheduling Prob...

Session A: Controlling Invasive Plants NHS Hall Moderated by Tim Harrington Session C: Prediction, Early Detection, and Mapping Douglas Classroom Moderated by Alison Halpern 3:20-3:40 "Garden Loosestrife: a history in King County, WA and the latest control methods" Ben Peterson, King County Noxious Weed Control Program "Volunteers Make a Difference in an Early Detection Rapid Response Citizen S...

The buffer allocation problem (BAP) has been widely studied by researchers while pursuing diverse research goals. Similarly, the cross-entropy method has been applied to a variety of optimisation problems with single objectives. In this article it is extended to the multiobjective case and proposed as a computationally economic approach to optimise at least two conflicting objectives of the BAP...

The cross-entropy method is a versatile heuristic tool for solving difficult estimation and optimization problems, based on Kullback–Leibler (or cross-entropy) minimization. As an optimization method it unifies many existing populationbased optimization heuristics. In this chapter we show how the cross-entropy method can be applied to a diverse range of combinatorial, continuous, and noisy opti...

To better regulate the speed of brushless DC motors, an improved algorithm based on original Glowworm Swarm Optimization is proposed. The proposed solves problems poor robustness, slow convergence, and low accuracy exhibited by traditional PID controllers. When selecting glowworm neighborhood set, optimization scheme growth competition behavior weeds applied to a single prevent falling into loc...

Invasive plants are a major threat to environmental conservation and are costly to control. To effectively mitigate invasion natural resource managers need to anticipate potential damage, develop policies to prevent introduction as well as mitigate spread. Weed distribution modeling provides managers with the objective information required to strategically direct control efforts. However, often...

During the past decade, as the issue of plant invasion gained recognition in the public domain, both ecologists and weed scientists voluntarily or by mandate moved to provide their expertise to the management of invasive plants on public lands. Diverse views of nature carried to the table by ecologists and weed scientists have resulted in different priorities and opinions on management strategi...