Teaching learning based optimization for economic load dispatch problem considering valve point loading effect

Water Evaporation Optimization Algorithm for Solving Dynamic Economic Dispatch

“…The convergence curves make clear that the results converged from larger values guarantee that the proposed WEO algorithm is efficient and obtain better results than earlier reported techniques. [10] 1,051,163 NA NA 0.421 EP [10] 1,048,638 NA NA 15.049 HS [12] 1,046,726 NA NA NA DE [11] 1,036,756 1,040,586 1,452,558 0.20 GA [7] 1,033,481 1,038,014 1,042,606 NA SOA [15] 1,023,946 1,026,289 1,029,213 NA AIS [9] 1,021,980 1,023,156 1,024,973 25.346 ABC [13] 1,021,576 1,022,686 1,024,316 2.603 TLA [16] 1,019,925 1,020,411 1,021,118 0.049 ICA [14] 1,018,467 1,019,291 1,021,796 NA HDE [29] 1,031,077 NA NA NA IPSO [17] 1 …”

“…To overcome this deficiency, turn to various heuristic techniques such as Genetic Algorithm (GA) [7], Simulated Annealing (SA) [8], Artificial Immune System (AIS) [9], Evolutionary Programming (EP) [10], Differential Evolution (DE) [11], Harmony Search (HS) [12], Artificial Bee Colony (ABC) [13], Imperialist Competitive Algorithm (ICA) [14], Seeker Optimization Algorithm (SOA) [15], Teaching Learning Algorithm (TLA) [16], Improved Particle Swarm Optimization (IPSO) [17], Chaotic Differential Evolution (IDE) [18], Modified Teaching Learning Algorithm (MTLA) [19], Self-Adaptive Modified Firefly Algorithm (SAMFO) [20], Improve Pattern Search (IPS) [21], Enhanced Cross Entropy (ECE) [25], Adaptive Particle Swarm Optimization (APSO) [28], Enhanced Bee Swarm Optimization (EBSO) [35], Deterministic Guided Particle Swarm Optimization (DGPSO) [37]. The main drawback of these heuristic techniques gives the results but struck the local minima and lack of guarantee of convergence infinite time for large scale DED problems.…”

Review of applications of TLBO algorithm and a tutorial for beginners to solve the unconstrained and constrained optimization problems

“…135. Banerjee et al (2015) Used TLBO algorithm for economic load dispatch problem considering valve point loading effect. 136.…”

A hybrid MILP and IPM approach for dynamic economic dispatch with valve-point effects

“…In the past decades, a number of optimization methods have been proposed to solve the DED-VPE. Due to the intractability of the problem, most of the currently available approaches for DED-VPE are heuristic optimization techniques , such as genetic algorithm (GA) [2], evolutionary programming (EP) [3], simulated annealing (SA) [5], particle swarm optimization (PSO) [6], differential evolution algorithm (DE) [7], artificial bee colony algorithm (ABC) [12], artificial immune system (AIS) [13], enhanced cross-entropy (ECE) [14], harmony search (HS) [15], imperialist competitive algorithm (ICA) [20], bee swarm optimization algorithm (BSO) [21], teachinglearning algorithm (TLA) [24], etc. These heuristic optimization techniques are population-based search methods which do not depend on the gradient and Hessian operators of the objective function.…”