The use of a reversion technique during the search process of s-metaheuristics has received
little attention with respect to forest management and planning problems. Reversion involves …

We combine classical concepts from different disciplines-those of robust curve
reconstruction with k-order alpha-shapes-hull and robust curve reconstruction with k-order …

We describe here an example of applying particle swarm optimization (PSO)—a population-
based heuristic technique—to maximize the net present value of a contemporary southern …

The environment after the nuclear power accident is complex, and it is difficult for rescue
workers to enter the accident area safely and effectively rescue the survivors. The robot can …

This is the final part of this chapter dealing with philosophy and theory. It has two main
sections. The first section discusses the New Materialisms, which is a phrase used to refer to …

We examine the poor performance of Discrete Particle Swarm Optimization when applied to
forest planning, a combinatorial optimization problem in which the goal is to maintain an …

In this thesis I examine the poor performance of Discrete Particle Swarm Optimization when
applied to forest planning, an optimization problem in which the goal is to maintain an even …

Extremal Optimization (EO) is a relatively new single search-point optimization heuristic
based on self-organized criticality. Unlike many traditional optimization heuristics, EO …

Abstract Discrete Particle Swarm Optimization has been noted to perform poorly on a forest
harvest planning combinatorial optimization problem marked by harvest period-stand …

A new search engine, based on Hooke's Law, is proposed and applied to both the Multiple
Subscriber Equipment (MSE) deployment and Schaffer's F6 equation problems. A virtualized …