You are presented with multiple paper abstracts, alongside the associated literature review and chapter titles. Given the provided information, you are going to do a literature review. Please generate a coherent literature review that synthesizes the content, draws connections between different works, highlights major findings, and identifies any gaps in the existing research.

Literature Review Title: Modifications of Particle Swarm Optimization Techniques and Its Application on Stock Market: A Survey 
Chapter Title:  d) Cooperative Particle Swarm Optimization 
1. Abstract of Cited Paper (BIB001):  This paper introduces a modified particle swarm algorithm to handle multiobjective optimization problems. In multiobjective PSO algorithms, the determination of Pareto optimal solutions depends directly on the strategy of assigning a best local guide to each particle. In this work, the PSO algorithm is modified to assign a best local guide to each particle by using minimum angular distance information. This algorithm is implemented to determine field-effect transistor (FET) model elements subject to the Pareto domination between the scattering parameters and operation bandwidth. Furthermore, the results are compared with those obtained by the nondominated sorting genetic algorithm-II. FET models are also built for the 3 points sampled from the different locations of the Pareto front, and a discussion is presented for the Pareto relation between the scattering parameter performances and the operation bandwidth for each model.

Literature Review:
A modified particle swarm optimizer named Cooperative PSO (CPSO) was proposed by Van denBergh and Engelbrecht BIB002 . The CPSO could significantly improve the performance of the original PSO by utilizing multiple swarms for optimizing different components of the solution vector by employ in cooperative behavior. In this method, the search space is partitioned by dividing the solution vectors into small vectors, based on the partition several swarms will be randomly generated in different parts of the search space and used to optimize different parts of the solution vector. BIB001 presented PSO with disturbance term (PSO-DT) which add a disturbance term to the velocity updating equation based on the prototype of the standard PSO trying to improve (or avoid) the shortcoming of standard PSO. The addition of the disturbance term based on existing structure effectively mends the defects. The convergence of the improved algorithm was analyzed. Simulation results demonstrated that the improved algorithm have a better performance than the standard one.