A novel and effective optimization algorithm for global optimization and its engineering applications: Turbulent Flow of Water-based Optimization (TFWO)

M Ghasemi, IF Davoudkhani, E Akbari… - … Applications of Artificial …, 2020 - Elsevier
In this study we present a new and effective grouping optimization algorithm (namely, the
Turbulent Flow of Water-based Optimization (TFWO)), inspired from a nature search …

An efficient symbiotic organisms search algorithm with chaotic optimization strategy for multi-objective task scheduling problems in cloud computing environment

M Abdullahi, MA Ngadi, SI Dishing, BI Ahmad - Journal of Network and …, 2019 - Elsevier
Abstract In Cloud Computing model, users are charged according to the usage of resources
and desired Quality of Service (QoS). Multi-objective task scheduling problem based on …

A new solution to the non-convex economic load dispatch problems using phasor particle swarm optimization

M Gholamghasemi, E Akbari, MB Asadpoor… - Applied Soft …, 2019 - Elsevier
The economic load dispatch (ELD) problems considering nonlinear characteristics such as
valve point effects (VPE), multiple fuels (MF), transmission network losses, ramp rate limits …

A modified Symbiotic Organisms Search algorithm for large scale economic dispatch problem with valve-point effects

DC Secui - Energy, 2016 - Elsevier
This paper proposes a new metaheuristic algorithm, called Modified Symbiotic Organisms
Search (MSOS) algorithm, to solve the economic dispatch problem considering the valve …

Colonial competitive differential evolution: an experimental study for optimal economic load dispatch

M Ghasemi, M Taghizadeh, S Ghavidel… - Applied Soft …, 2016 - Elsevier
Differential evolution (DE) algorithm is a population-based algorithm designed for global
optimization of the optimization problems. This paper proposes a different DE algorithm …

Multi‐objective economic emission dispatch using interior search algorithm

N Karthik, AK Parvathy, R Arul - International Transactions on …, 2019 - Wiley Online Library
The purpose of the combined economic emission dispatch of generation in an electric power
is to offer the finest schedule for the generating units which must run with both lesser fuel …

CFA optimizer: A new and powerful algorithm inspired by Franklin's and Coulomb's laws theory for solving the economic load dispatch problems

M Ghasemi, S Ghavidel, J Aghaei… - … on Electrical Energy …, 2018 - Wiley Online Library
This paper presents a new efficient algorithm inspired by Franklin's and Coulomb's laws
theory that is referred to as CFA algorithm, for finding the global solutions of optimal …

A new bi-level optimisation framework for optimising a multi-mode wave energy converter design: A case study for the Marettimo Island, Mediterranean Sea

M Neshat, NY Sergiienko, E Amini, M Majidi Nezhad… - Energies, 2020 - mdpi.com
To advance commercialisation of ocean wave energy and for the technology to become
competitive with other sources of renewable energy, the cost of wave energy harvesting …

Greedy sine-cosine non-hierarchical grey wolf optimizer for solving non-convex economic load dispatch problems

AS Alghamdi - Energies, 2022 - mdpi.com
Economic load dispatch (ELD) provides significant benefits to the operation of the power
system. It appears to be a complex nonconvex optimization problem subject to several equal …

Squirrel search algorithm for economic dispatch with valve-point effects and multiple fuels

VP Sakthivel, M Suman, PD Sathya - Energy Sources, Part B …, 2020 - Taylor & Francis
This paper bestows a new swarm intelligence approach, Squirrel Search Algorithm (SSA) to
solve Economic Load Dispatch (ELD) of the thermal unit by addressing the valve point …