Optimization is a more important field of research. With increasing the complexity of real-world problems, the more efficient and reliable optimization algorithms vital. Traditional methods are unable to solve these problems so, the first choice for solving these problems becomes meta-heuristic algorithms. Meta-heuristic algorithms proved their ability to solve more complex problems and giving more satisfying results. In this paper, we introduce the more popular meta-heuristic algorithms and their applications in addition to providing the more recent references for these algorithms
Meta-heuristics optimization is becoming a popular tool for solving numerous problems in real-world ...
In the past few decades, metaheuristics have demonstrated their suitability in addressing complex pr...
I. Introduction: Global optimization endeavors to find the optima of the functions that are non-lin...
Conventional and classical optimization methods are not efficient enough to deal with complicated, N...
In recent years, there have been significant advances in the theory and application of meta-heuristi...
We present an approach that is able to automatically choose the best meta-heuristic and configuratio...
The interface between computer science and operations research has drawn much attention recently esp...
This paper presents a quick review of the basic concepts and essential steps for implementing of met...
Metaheuristics are the most exciting development in approximate optimization techniques of the last ...
The use of meta-heuristics for solving combinatorial optimisation has now a long history, and there ...
There are numerous optimisation problems for which heuristics are currently the only practical solut...
none2In many real life settings, high quality solutions to hard optimization problems such as flight...
Solving complex optimization problems can be painstakingly difficult endeavor considering multiple a...
[EN]This book explains the most prominent and some promising new, general techniques that combine me...
Optimization has become such a favored area of research in recent times necessitating the need for t...
Meta-heuristics optimization is becoming a popular tool for solving numerous problems in real-world ...
In the past few decades, metaheuristics have demonstrated their suitability in addressing complex pr...
I. Introduction: Global optimization endeavors to find the optima of the functions that are non-lin...
Conventional and classical optimization methods are not efficient enough to deal with complicated, N...
In recent years, there have been significant advances in the theory and application of meta-heuristi...
We present an approach that is able to automatically choose the best meta-heuristic and configuratio...
The interface between computer science and operations research has drawn much attention recently esp...
This paper presents a quick review of the basic concepts and essential steps for implementing of met...
Metaheuristics are the most exciting development in approximate optimization techniques of the last ...
The use of meta-heuristics for solving combinatorial optimisation has now a long history, and there ...
There are numerous optimisation problems for which heuristics are currently the only practical solut...
none2In many real life settings, high quality solutions to hard optimization problems such as flight...
Solving complex optimization problems can be painstakingly difficult endeavor considering multiple a...
[EN]This book explains the most prominent and some promising new, general techniques that combine me...
Optimization has become such a favored area of research in recent times necessitating the need for t...
Meta-heuristics optimization is becoming a popular tool for solving numerous problems in real-world ...
In the past few decades, metaheuristics have demonstrated their suitability in addressing complex pr...
I. Introduction: Global optimization endeavors to find the optima of the functions that are non-lin...