Abstract. In order to utilize multi-core CPUs, a concurrent program of the latest evolutionary algorithm, i.e., Differential Evolution (DE), is described. The concurrent program of DE is based on a programming model known as “MapReduce ” and named Concurrent DE (CDE). In this paper, two implementation techniques of CDE, namely CDE/D and CDE/S, are presented and compared in the quality of the solutions. Through the numerical experiments and the statistical tests conducted on two kinds of popular multi-core CPUs, it is shown that CDE/D is superior to CDE/S in the quality of the solutions obtained by CDE, however CDE/D is inferior to CDE/S in the execution time of CDE
This paper presents a new distributed Differential Evolution (dDE) algorithm and evaluates it accor...
Recent innovations in computing technology have resulted in the development of multi core CPU's...
Differential evolution algorithm (DE) is a novel parallel direct search evolutionary algorithm. Here...
This paper presents a new distributed Differential Evolution (dDE) algorithm and provides an exhaust...
Summarization: A Parallel Differential Evolution algorithm is presented in this work, developed for ...
This paper introduces the ADVANCE approach to engineering concurrent systems using a new component-b...
This paper proposes the use of two algorithms based on the parallel differential evolution. The firs...
Differential Evolution (DE) is one of the most popular, high-performance optimization algorithms wit...
We describe the utilization of on-chip multiple CPU architectures to automatically evolve parallel c...
Parallel processing has emerged as a key enabling technology in modern computing. Recent software ad...
This paper introduces the ADVANCE approach to engineering concurrent systems using a new component-b...
Multi-core design for CPU is the recent trend and we believe the trend will continue in near future....
Modern GPUs enable widely affordable personal computers to carry out massively parallel computation ...
The Differential Evolution (DE) algorithm is widely used for real-world global optimisation problems...
peer reviewedModern GPUs enable widely affordable personal computers to carry out massively parallel...
This paper presents a new distributed Differential Evolution (dDE) algorithm and evaluates it accor...
Recent innovations in computing technology have resulted in the development of multi core CPU's...
Differential evolution algorithm (DE) is a novel parallel direct search evolutionary algorithm. Here...
This paper presents a new distributed Differential Evolution (dDE) algorithm and provides an exhaust...
Summarization: A Parallel Differential Evolution algorithm is presented in this work, developed for ...
This paper introduces the ADVANCE approach to engineering concurrent systems using a new component-b...
This paper proposes the use of two algorithms based on the parallel differential evolution. The firs...
Differential Evolution (DE) is one of the most popular, high-performance optimization algorithms wit...
We describe the utilization of on-chip multiple CPU architectures to automatically evolve parallel c...
Parallel processing has emerged as a key enabling technology in modern computing. Recent software ad...
This paper introduces the ADVANCE approach to engineering concurrent systems using a new component-b...
Multi-core design for CPU is the recent trend and we believe the trend will continue in near future....
Modern GPUs enable widely affordable personal computers to carry out massively parallel computation ...
The Differential Evolution (DE) algorithm is widely used for real-world global optimisation problems...
peer reviewedModern GPUs enable widely affordable personal computers to carry out massively parallel...
This paper presents a new distributed Differential Evolution (dDE) algorithm and evaluates it accor...
Recent innovations in computing technology have resulted in the development of multi core CPU's...
Differential evolution algorithm (DE) is a novel parallel direct search evolutionary algorithm. Here...