The topic of dynamic pricing and learning has received a considerable amount of attention
in recent years, from different scientific communities. We survey these literature streams: we …

The paper provides an insight into the improved novel metaheuristics of the Firefly Algorithm
for constrained continuous optimization tasks. The presented technique is inspired by social …

Software testing is an important but complex part of software development life cycle. The
optimization of the software testing process is a major challenge, and the generation of the …

Evolutionary Computation (EC) is a recent and lively area of study. Some of the recent
approaches within EC are particle Swarm Optimisation (PSO) and Differential Evolution …

Collective self-adaptive systems (CSAS) are distributed and interconnected systems
composed of multiple agents that can perform complex tasks such as environmental data …

Firefly algorithm (FA) is a new meta‐heuristic optimisation algorithm that mimics the social
behaviour of fireflies flying in the tropical and temperate summer sky. In this study, a novel …

With the help of evolutionary concepts and behavior of biotic components of nature, many
optimization algorithms were developed. Optimization techniques like Particle Swarm …

Swarm intelligence is an artificial intelligence discipline, which was created on the basis of
the laws that govern the behavior of, for example, social insects, fish schools, and flocks of …

Power management in advanced grid systems requires the seamless integration of diverse
renewable energy sources. This study investigates the optimization of a grid‐connected …

In this paper we empirically investigate the feasibility of using peer-designed agents (PDAs)
instead of people for the purpose of mechanism evaluation. This approach has been …