Feat: implement Mantis Shrimp Optimization Algorithm (MShOA)

Algorithms.md

@@ -31,6 +31,7 @@ Harris hawks optimization      |HHO| Heidari et al. "Harris hawks optimization:
 |Monarch Butterfly Algorithm   |MBO|Wang, G. G., Deb, S., & Cui, Z. (2019). Monarch butterfly optimization. Neural computing and applications, 31(7), 1995-2014.
 |Moth-flame Optimization       |MFO|Mirjalili, Seyedali. "Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm." Knowledge-Based Systems 89 (2015): 228-249.
 |Monkey King Evolution         |MKE|Zhenyu Meng, Jeng-Shyang Pan, Monkey King Evolution: A new memetic evolutionary algorithm and its application in vehicle fuel consumption optimization, Knowledge-Based Systems, Volume 97, 2016, Pages 144-157.
+|Mantis Shrimp Optimization Algorithm|MShOA|Sánchez Cortez et al., 2025, [DOI](https://doi.org/10.3390/math13091500)|
 |Particle Swarm Optimization   |PSO|Kennedy, J. and Eberhart, R. "Particle Swarm Optimization". Proceedings of IEEE International Conference on Neural Networks. IV. pp. 1942--1948, 1995.
 |Sine Cosine Algorithm         |SCA|Seyedali Mirjalili, SCA: A Sine Cosine Algorithm for solving optimization problems, Knowledge-Based Systems, Volume 96, 2016, Pages 120-133,
 

examples/run_mshoa.py

@@ -0,0 +1,19 @@
+# encoding=utf8
+# This is temporary fix to import module from parent folder
+# It will be removed when package is published on PyPI
+import sys
+
+sys.path.append('../')
+# End of fix
+
+from niapy.algorithms.basic import MantisSearchAlgorithm
+from niapy.task import Task
+from niapy.problems import Sphere
+
+# we will run Mantis Shrimp Optimization Algorithm for 20 iterations
+task = Task(problem=Sphere(dimension=10), max_iters=20)
+algo = MantisSearchAlgorithm(population_size=30, k_value=0.3)
+best = algo.run(task)
+print('Best solution: %s' % best[0])
+print('Best fitness: %f' % best[1])
+

niapy/algorithms/basic/__init__.py

@@ -30,6 +30,7 @@
 from niapy.algorithms.basic.mbo import MonarchButterflyOptimization
 from niapy.algorithms.basic.mfo import MothFlameOptimizer
 from niapy.algorithms.basic.mke import MonkeyKingEvolutionV1, MonkeyKingEvolutionV2, MonkeyKingEvolutionV3
+from niapy.algorithms.basic.mshoa import MantisSearchAlgorithm, MShOA
 from niapy.algorithms.basic.pso import ParticleSwarmAlgorithm, ParticleSwarmOptimization, \
     CenterParticleSwarmOptimization, ComprehensiveLearningParticleSwarmOptimizer, \
     OppositionVelocityClampingParticleSwarmOptimization, MutatedCenterParticleSwarmOptimization, \
@@ -76,6 +77,8 @@
     'DynamicFireworksAlgorithmGauss',
     'GravitationalSearchAlgorithm',
     'MothFlameOptimizer',
+    'MantisSearchAlgorithm',
+    'MShOA',
     'FishSchoolSearch',
     'CuckooSearch',
     'CoralReefsOptimization',