Optimize imports

Author: ajnebro

FUN.SMSEMOA.DTLZ1

@@ -103,7 +103,7 @@ plot_front.plot(front, label='NSGAII-ZDT1', filename='NSGAII-ZDT1', format='png'
 ## Features
 The current release of jMetalPy (v1.7.0) contains the following components:
 
-* Algorithms: local search, genetic algorithm, evolution strategy, simulated annealing, random search, NSGA-II, NSGA-III, SMPSO, OMOPSO, MOEA/D, MOEA/D-DRA, MOEA/D-IEpsilon, GDE3, SPEA2, HYPE, IBEA. Preference articulation-based algorithms (G-NSGA-II, G-GDE3, G-SPEA2, SMPSO/RP); Dynamic versions of NSGA-II, SMPSO, and GDE3.
+* Algorithms: local search, genetic algorithm, evolution strategy, simulated annealing, random search, NSGA-II, NSGA-III, SMPSO, OMOPSO, MOEA/D, SMS-EMOA, MOEA/D-DRA, MOEA/D-IEpsilon, GDE3, SPEA2, HYPE, IBEA. Preference articulation-based algorithms (G-NSGA-II, G-GDE3, G-SPEA2, SMPSO/RP); Dynamic versions of NSGA-II, SMPSO, and GDE3.
 * Parallel computing based on Apache Spark and Dask.
 * Benchmark problems: ZDT1-6, DTLZ1-2, FDA, LZ09, LIR-CMOP, RWA, RE, unconstrained (Kursawe, Fonseca, Schaffer, Viennet2), constrained (Srinivas, Tanaka).
 * Encodings: real, binary, permutations.
@@ -120,6 +120,7 @@ The current release of jMetalPy (v1.7.0) contains the following components:
 ## Changelog
 
 * [Current development version] 
+  * Add the SMS-EMOA algorithm (based on [moocore](https://multi-objective.github.io/moocore/python/).) 
   * Add the IGD+ quality indicator
   * Add new bencharmk problems:
     * [eqdtlz.py](https://github.com/jMetal/jMetalPy/blob/main/src/jmetal/problem/multiobjective/eqdtlz.py)