Engineering design problems are often multi-objective in nature, which means trade-offs are
required between conflicting objectives. In this study, we examine the multi-objective …

This paper presents a comprehensive review of simulated annealing (SA)-based
optimization algorithms. SA-based algorithms solve single and multiobjective optimization …

Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all
major nature-inspired algorithms for optimization. The book's unified approach, balancing …

This paper describes a simulated annealing based multiobjective optimization algorithm that
incorporates the concept of archive in order to provide a set of tradeoff solutions for the …

This paper presents a new method that effectively determines a Pareto front for bi-objective
optimization with potential application to multiple objectives. A traditional method for …

In practical applications of optimization it is common to have several conflicting objective
functions to optimize. Frequently, these functions are subject to noise or can be of black-box …

Path planning has become a predominant issue for unmanned aerial vehicles (UAVs),
especially in complex indoor environments. Existing solutions for UAV indoor path planning …

Land use optimization is a promising approach to achieve urban sustainability. Despite the
increasing number of literature on land use optimization, a little investigation is made to …

This paper proposes a new congestion management (CM) approach by using the
generation rescheduling and load shedding, with the realistic voltage-dependent load …

Clustering is an important unsupervised classification technique where data points are
grouped such that points that are similar in some sense belong to the same cluster. Cluster …