JADE is a differential evolution (DE) algorithm and has been shown to be very competitive in
comparison with other evolutionary optimization algorithms. However, it suffers from the …

Real-world optimisation problems that are not endowed in mathematical characteristics like
differentiability, convexity etc. require non-traditional optimisation approaches that explore …

This research work projects a novel quasi-oppositional chaotic student psychology-based
optimization (SPBO)(QOCSPBO) algorithm for solving global optimization problems. To …

Determining the global optima of integer and mixed-integer nonlinear problems is a useful
contribution in various engineering applications. Swarm intelligence is a well-known branch …

Harmony search (HS) is a new evolutionary algorithm inspired by the process of music
improvisation. During the past decade, HS has shown excellent performance in many fields …

Differential evolution (DE) is a simple yet efficient stochastic search approach for numerical
optimization. However, it tends to suffer from slow convergence when tackling complicated …

With continuous advancements in the domain of information and communication
technologies, large-scale enterprises and the Internet service providers have realized about …

Differential evolution (DE) is a versatile and fast evolutionary algorithm (EA) for real world
global optimization problems. It has been widely applied to diverse areas as a remarkable …

Artificial bee colony (ABC) algorithm is a promising evolutionary algorithm inspired by the
foraging behaviour of honey bee swarm, which has obtained satisfactory solutions in diverse …

We propose to couple the R2 performance measure and Particle Swarm Optimization in
order to handle multi/many‐objective problems. Our proposal shows that through a well …