Optimization problems of modern day power system are very challenging to resolve
because of its design complexity, wide geographical dispersion and influence from many …

Owing to no free lunch theorem, meta-heuristic search algorithms, behaviour and
performance are different for solving specific class of optimization problems than another …

This paper presents an improved differential evolution (IDE) algorithm for economic load
dispatch (ELD) problems with or without valve-point effects (VPE). The proposed IDE is …

This paper proposes a novel particle swarm optimization (PSO) algorithm with population
reduction, which is called modified new self-organizing hierarchical PSO with jumping time …

This paper presents a-multiobjective-teaching-learning-based optimization algorithm to
solve the dynamic economic emission dispatch problem. Teaching-learning-based …

Dynamic economic dispatch (DED) aims to schedule the committed generating units' output
active power economically over a certain period of time, satisfying operating constraints and …

In this paper a mixed integer quadratic programming (MIQP) is proposed to solve the
dynamic economic dispatch (DED) with valve-point effect (VPE) where the non-linear and …

Combined heat and power units are playing an ever increasing role in conventional power
stations due to advantages such as reduced emissions and operational cost savings. This …

This paper developed a new method for solving the economic dispatch (ED) problems
considering the valve-point effects in power systems. The method is based on a hybrid …

This paper presents a new hybrid approach integrating the cross-entropy (CE) algorithm and
the sequential quadratic programming (SQP) technique to solve the economic load dispatch …