An Improved Particle Swarm Optimization with Biogeography-Based Learning Strategy for Economic Dispatch Problems

Table 1

Table of abbreviations.

Optimization algorithms	Abbreviation
Backtracking search algorithm	BSA
Biogeography-based optimization	BBO
Chaotic bat algorithm	CBA
Chaotic improved honey bee mating optimization	CIHBMO
Continuous quick group search optimizer	CQGSO
Differential evolution	DE
Enhanced Hopfield neural network	EHNN
Firefly algorithm	FA
Genetic algorithm-ant colony optimization	GAAPI
Group search optimizer	GSO
Honey bee mating optimization	HBMO
Hybrid chemical reaction optimization with differential evolution	HCRO-DE
Hybrid differential evolution with biogeography-based optimization	DE/BBO
Harmony search	HS
Hopfield modeling framework	HM
Hybrid harmony search	HHS
Hybrid differential evolution with biogeography-based optimization	DE/BBO
Hybrid differential evolution with particle swarm optimization	DEPSO
Immune algorithm	IA
Improved differential evolution	IDE
Improved orthogonal design particle swarm optimization-global version	IODPSO-L
Improved orthogonal design particle swarm optimization-local version	IODPSO-G
Improved random drift particle swarm optimization	IRDPSO
Modified artificial bee colony	MABC
Multiple tabu search	MTS
Multistrategy ensemble biogeography-based optimization	MsEBBO
New particle swarm optimization	New-PSO
New particle swarm optimization with local random search	NPSO-LRS
Oppositional invasive weed optimization	OIWO
Oppositional real-coded chemical reaction optimization	ORCCRO
Particle swarm optimization	PSO
Particle swarm optimization with chaotic sequences and crossover operator	CCPSO
Particle swarm optimization with time-varying acceleration coefficients	PSO-TVAC
Random drift particle swarm optimization	RDPSO
Self-tuning improved random drift particle swarm optimization	ST-IRDPSO
Simulated annealing	SA
Stochastic weight trade-off particle swarm optimization	SWT-PSO
Tabu search	TS