Engineering systems form the basis on which our day-to-day lives depend on. In many cases, designers are interested in identifying an optimal design of an engineering system. However, very often, the process of engineering design optimization is complex and involves time-expensive simulations or the need to satisfy not just one, but multiple objectives. This thesis aims to explore the area of e...

2. INTRODUCTION In most engineering applications optimization problems of continuous or discrete nature arise very often, making thus optimization techniques of undisputed importance in science and technology. Applications of them can be met in many scientific fields. Indeed, many recent advances in science, economics and engineering rely on numerical techniques for computing globally optimal s...

We investigate the performance of the recently proposed Unified Particle Swarm Optimization method on constrained engineering optimization problems. For this purpose, a penalty function approach is employed and the algorithm is modified to preserve feasibility of the encountered solutions. The algorithm is illustrated on four well–known engineering problems with promising results. Comparisons w...

We present an application of multiple-objectives evolutionary optimization to the problem of engineering the distribution of the interdomain traffic in the Internet. We show that this practical problem requires such a heuristic due to the potential conflicting nature of the traffic engineering objectives. Furthermore, having to work on the parameter’s space of the real problem makes such techni...

The finite-element (FE) method is widely recognized as a powerful tool in modeling structural and geotechnical systems and simulating their response to static and dynamic loads. In addition, numerical optimization is commonly used in many engineering applications, such as structural reliability analysis, FE model updating, structural identification, and structural optimization. This paper focus...

Graph theory based methods are powerful means for representing structural systems so that their geometry and topology can be understood clearly. The combination of graph theory based methods and some metaheuristics can offer effective solutions for complex engineering optimization problems. This paper presents a Charged System Search (CSS) algorithm for the free shape optimizations of thin-wall...

A novel optimization algorithm named teaching-learning-based optimization (TLBO) algorithm and its implementation procedure were presented in this paper. TLBO is a meta-heuristic method, which simulates the phenomenon in classes. TLBO has two phases: teacher phase and learner phase. Students learn from teachers in teacher phases and obtain knowledge by mutual learning in learner phase. The suit...

Many engineering design problems can be formulated as optimization problems with constraints. In this paper we have proposed two modified variants of differential evolution (DE) for solving constrained engineering design problems. Paretoranking method is used to handle constrained with proposed approaches. The proposed variants named EDE-1 and EDE-2 are tested on 4 engineering design optimizati...

Determination of optimum location for drilling a new well not only requires engineering judgments but also consumes excessive computational time. Additionally, availability of many physical constraints such as the well length, trajectory, and completion type and the numerous affecting parameters including, well type, well numbers, well-control variables prompt that the optimization approaches b...

The artificial Gorilla Troop Optimization (GTO) algorithm is a metaheuristic optimization that simulates the social life of gorillas. This paper proposes three innovative strategies considering GTO algorithm’s insufficient convergence accuracy and low speed. First, shrinkage control factor fusion strategy proposed to expand search space reduce blindness by strengthening communication between si...