This chapter provides a brief review of random search methods for simulation optimization.
We start by describing the structure of random search when system performance is …

Increasing costs and competitive business strategies are pushing sawmill enterprises to
make an effort for optimization of their process management. Organizational decisions …

In this paper, we consider the hybrid vehicle routing problem (HVRP) at which the vehicle
consumes two types of power: fuel and electricity. The aim of this problem is to minimize the …

A Pareto optimal set, which is obtained from solving multi-objective optimisation problems,
usually contain a large number of optimal solutions. This situation poses a challenge for …

Modern world is rapidly evolving around knowledge and business that know how to use
knowledge shows superiority. Thus, smart decision making becomes vital for the modern …

Bin planning (arrangements) is a key factor in the timber industry. Improper planning of the
storage bins may lead to inefficient transportation of resources, which threaten the overall …

Multi-objective optimization problems have been solved widely by determination of a Pareto
optimal set. Practically, the decision-makers need to choose only one solution to implement …

In this paper, the cooling schedule set up for Multi-Objective Simulated Annealing algorithm
(MOSA) is studied. The MOSA algorithm is used to solve multi objective optimization …

Simulated Annealing is an analogy with the annealing of solids, which foundations come
from a physical area known as statistical mechanics. This chapter presents a review of the …

In this paper, the analytical parameter tuning for the Archive Multi-objective Simulated
Annealing (AMOSA) is described. The analytical tuning method yields the initial and final …