Surrogate-assisted evolutionary algorithms have been commonly used in extremely
expensive optimization problems. However, many existing algorithms are only significantly …

Efficient constraint handling techniques are of great significance when Evolutionary
Algorithms (EAs) are applied to constrained optimization problems (COPs). Generally, when …

Surrogate-assisted optimization has attracted much attention due to its superiority in solving
expensive optimization problems. However, relatively little work has been dedicated to …

Restructuring of power sector in the last decade has introduced competition among the
various entities of power system. In this revolutionised competitive environment, day by day …

A wide range of process systems engineering problems involve an optimisation formulation
that is difficult to solve due to sources of discontinuity and non-convexity and a high number …

An immune optimization algorithm, based on the model of biological immune system, is
proposed to solve multiobjective optimization problems with multimodal nonlinear …

Unit commitment problem (UCP) which has a significant influence on secure and economic
operation of power systems is considered to be one of the most difficult optimisation …

In this study, we introduce a novel approach of variable reduction and integrate it into
evolutionary algorithms in order to reduce the complexity of optimization problems. We …

Firefly-Algorithm (FA) is an eminent nature-inspired swarm-based technique for solving
numerous real world global optimization problems. This paper presents an overview of the …

A constrained optimisation problem (COP) is solved by solving an equivalent dynamic
loosely-constrained multiobjective optimisation problem in this paper. Two strategies are …