In real-world applications, most optimization problems contain constraints (ranging from
physical, time, geometric, design etc.) which need to be satisfied while finding an optimal …

Benchmarking plays an important role in the development of novel search algorithms as well
as for the assessment and comparison of contemporary algorithmic ideas. This paper …

This is the second edition of our 2003 book. It is primarily a book for lecturers and graduate
and undergraduate students. To this group the book offers a thorough introduction to …

No pleasure lasts long unless there is variety in it. Publilius Syrus, Moral Sayings We've
been very fortunate to receive fantastic feedback from our readers during the last four years …

We propose a novel hybrid algorithm named PSO-DE, which integrates particle swarm
optimization (PSO) with differential evolution (DE) to solve constrained numerical and …

A common approach to constraint handling in evolutionary optimization is to apply a penalty
function to bias the search toward a feasible solution. It has been proposed that the …

A considerable number of constrained optimization evolutionary algorithms (COEAs) have
been proposed due to increasing interest in solving constrained optimization problems …

Most real world optimization problems have constraints of different types (eg, physical, time,
geometric, etc.) which modify the shape of the search space. During the last couple of …

In this paper, an adaptive tradeoff model (ATM) is proposed for constrained evolutionary
optimization. In this model, three main issues are considered:(1) the evaluation of infeasible …

In this study a plate–fin type Compact Heat Exchanger (CHE) is considered for optimization.
The optimization method uses a Genetic Algorithm (GA) to search, combine and optimize …